Overview

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Dataset statistics

Number of variables90
Number of observations1210779
Missing cells21397356
Missing cells (%)19.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory831.4 MiB
Average record size in memory720.0 B

Variable types

Numeric82
Categorical7
Unsupported1

Alerts

коэфф_невыплаченного_сумм_остатка has constant value "1345311.5381317567" Constant
непогашенная_сумма_из_тела_займов has constant value "0.0" Constant
код_политики has constant value "1.0" Constant
аннуитет is highly overall correlated with сумма_займаHigh correlation
верхний_порог_рейтинга_заемщика is highly overall correlated with нижний_порог_рейтинга_заемщикаHigh correlation
годовой_доход is highly overall correlated with кредитный_лимит and 2 other fieldsHigh correlation
кол-во_активных_возобновляемых_счетов is highly overall correlated with кол-во_активных_карт and 7 other fieldsHigh correlation
кол-во_активных_карт is highly overall correlated with кол-во_активных_возобновляемых_счетов and 7 other fieldsHigh correlation
кол-во_аннуитетных_счетов is highly overall correlated with кол-во_аннуитетных_счетов_за_2_года and 5 other fieldsHigh correlation
кол-во_аннуитетных_счетов_за_2_года is highly overall correlated with кол-во_аннуитетных_счетов and 5 other fieldsHigh correlation
кол-во_аннуитетных_счетов_за_год is highly overall correlated with кол-во_аннуитетных_счетов_за_2_года and 2 other fieldsHigh correlation
кол-во_возоб_счетов_за_2_года is highly overall correlated with кол-во_возоб_счетов_за_год and 5 other fieldsHigh correlation
кол-во_возоб_счетов_за_год is highly overall correlated with кол-во_возоб_счетов_за_2_года and 6 other fieldsHigh correlation
кол-во_возобновляемых_счетов is highly overall correlated with кол-во_активных_возобновляемых_счетов and 8 other fieldsHigh correlation
кол-во_возобновляемых_счетов_с_балансом_более_0 is highly overall correlated with кол-во_активных_возобновляемых_счетов and 7 other fieldsHigh correlation
кол-во_записей_в_общедоступных_документах is highly overall correlated with кол-во_публ_банкротствHigh correlation
кол-во_заявок_за_полгода is highly overall correlated with кол-во_заявок_на_кредит_за_год and 1 other fieldsHigh correlation
кол-во_заявок_на_кредит_за_год is highly overall correlated with кол-во_заявок_за_полгода and 1 other fieldsHigh correlation
кол-во_ипотек is highly overall correlated with кредитный_лимит and 2 other fieldsHigh correlation
кол-во_карт is highly overall correlated with кол-во_активных_карт and 7 other fieldsHigh correlation
кол-во_карт_без_нарушений is highly overall correlated with кол-во_активных_возобновляемых_счетов and 10 other fieldsHigh correlation
кол-во_мес_с_последней_задолженности_по_возобновляемому_счету is highly overall correlated with кол-во_мес_с_последней_задолженности_по_карте and 3 other fieldsHigh correlation
кол-во_мес_с_последней_задолженности_по_карте is highly overall correlated with кол-во_мес_с_последней_задолженности_по_возобновляемому_счету and 3 other fieldsHigh correlation
кол-во_мес_с_последней_заявки is highly overall correlated with кол-во_заявок_за_полгода and 1 other fieldsHigh correlation
кол-во_месяцев_с_посл_аннуитетного_счета is highly overall correlated with кол-во_аннуитетных_счетов_за_2_года and 1 other fieldsHigh correlation
кол-во_месяцев_с_последнего_возобновляемого_счета is highly overall correlated with кол-во_возоб_счетов_за_2_года and 5 other fieldsHigh correlation
кол-во_месяцев_с_последнего_нарушения is highly overall correlated with кол-во_мес_с_последней_задолженности_по_возобновляемому_счету and 4 other fieldsHigh correlation
кол-во_месяцев_с_последнего_счета is highly overall correlated with кол-во_возоб_счетов_за_год and 4 other fieldsHigh correlation
кол-во_месяцев_с_последней_карты is highly overall correlated with кол-во_возоб_счетов_за_2_года and 3 other fieldsHigh correlation
кол-во_месяцев_с_последней_просрочки is highly overall correlated with кол-во_мес_с_последней_задолженности_по_возобновляемому_счету and 3 other fieldsHigh correlation
кол-во_открытых_возобновляемых_счетов is highly overall correlated with кол-во_активных_возобновляемых_счетов and 10 other fieldsHigh correlation
кол-во_открытых_счетов is highly overall correlated with кол-во_активных_возобновляемых_счетов and 9 other fieldsHigh correlation
кол-во_открытых_счетов_за_2_года is highly overall correlated with кол-во_аннуитетных_счетов_за_2_года and 5 other fieldsHigh correlation
кол-во_открытых_счетов_за_полгода is highly overall correlated with кол-во_возоб_счетов_за_год and 4 other fieldsHigh correlation
кол-во_просрочек_за_два_года is highly overall correlated with кол-во_мес_с_последней_задолженности_по_возобновляемому_счету and 4 other fieldsHigh correlation
кол-во_публ_банкротств is highly overall correlated with кол-во_записей_в_общедоступных_документахHigh correlation
кол-во_счетов is highly overall correlated with кол-во_аннуитетных_счетов and 5 other fieldsHigh correlation
кол-во_счетов_без_нарушений is highly overall correlated with кол-во_активных_возобновляемых_счетов and 9 other fieldsHigh correlation
кол-во_счетов_за_посл_год is highly overall correlated with кол-во_аннуитетных_счетов_за_год and 7 other fieldsHigh correlation
кол-во_счетов_с_акт_просрочкой_1_мес is highly overall correlated with кол-во_текущих_просроченных_счетовHigh correlation
кол-во_счетов_с_акт_просрочкой_3_мес_за_2_года is highly overall correlated with кол-во_месяцев_с_последнего_нарушения and 1 other fieldsHigh correlation
кол-во_счетов_с_просрочкой_4_мес is highly overall correlated with процент_счетов_без_просрочекHigh correlation
кол-во_текущих_аннуитетных_счетов is highly overall correlated with кол-во_аннуитетных_счетов and 4 other fieldsHigh correlation
кол-во_текущих_просроченных_счетов is highly overall correlated with кол-во_счетов_с_акт_просрочкой_1_мес and 1 other fieldsHigh correlation
коэфф_загрузки_возобновляемого_счета is highly overall correlated with процент_счетов_прев_75_лимита and 3 other fieldsHigh correlation
кредитный_баланс_без_ипотеки is highly overall correlated with кол-во_аннуитетных_счетов and 5 other fieldsHigh correlation
кредитный_баланс_по_возоб_счетам is highly overall correlated with макс_баланс_по_возоб_счетам and 2 other fieldsHigh correlation
кредитный_лимит is highly overall correlated with годовой_доход and 5 other fieldsHigh correlation
лимит_по_аннуитетным_счетам is highly overall correlated with кол-во_аннуитетных_счетов and 3 other fieldsHigh correlation
лимит_по_картам is highly overall correlated with кол-во_активных_карт and 6 other fieldsHigh correlation
макс_баланс_по_возоб_счетам is highly overall correlated with кредитный_баланс_по_возоб_счетам and 3 other fieldsHigh correlation
нижний_порог_рейтинга_заемщика is highly overall correlated with верхний_порог_рейтинга_заемщикаHigh correlation
оборотный_баланс is highly overall correlated with кол-во_активных_возобновляемых_счетов and 5 other fieldsHigh correlation
общая_сумма_на_счетах is highly overall correlated with годовой_доход and 4 other fieldsHigh correlation
общий_лимит_по_возоб_счету is highly overall correlated with кол-во_возобновляемых_счетов and 9 other fieldsHigh correlation
пдн is highly overall correlated with совокупный_пдн_заемщиковHigh correlation
процент_счетов_без_просрочек is highly overall correlated with кол-во_счетов_с_просрочкой_4_месHigh correlation
процент_счетов_прев_75_лимита is highly overall correlated with коэфф_загрузки_возобновляемого_счета and 2 other fieldsHigh correlation
совокупный_доход_заемщиков is highly overall correlated with годовой_доход and 1 other fieldsHigh correlation
совокупный_пдн_заемщиков is highly overall correlated with пднHigh correlation
соотношение_баланса_к_лимиту_общее is highly overall correlated with коэфф_загрузки_возобновляемого_счета and 3 other fieldsHigh correlation
соотношение_баланса_к_лимиту_по_картам is highly overall correlated with коэфф_загрузки_возобновляемого_счета and 3 other fieldsHigh correlation
соотношение_сумм_текущего_баланса_к_лимиту_по_аннуитетным_счетам is highly overall correlated with соотношение_баланса_к_лимиту_общееHigh correlation
средний_баланс_текущих_счетов is highly overall correlated with кол-во_ипотек and 2 other fieldsHigh correlation
сумма_задолженности is highly overall correlated with кол-во_текущих_просроченных_счетовHigh correlation
сумма_займа is highly overall correlated with аннуитетHigh correlation
суммарная_доступная_сумма_займа_по_картам is highly overall correlated with кол-во_карт_без_нарушений and 6 other fieldsHigh correlation
текущий_баланс_по_аннуитетным_счетам is highly overall correlated with кол-во_аннуитетных_счетов and 4 other fieldsHigh correlation
кол-во_счетов_с_акт_просрочкой_1_мес is highly imbalanced (98.6%) Imbalance
кол-во_месяцев_с_последней_просрочки has 610561 (50.4%) missing values Missing
кол-во_месяцев_с_последнего_займа has 1005117 (83.0%) missing values Missing
дата_следующей_выплаты has 1210779 (100.0%) missing values Missing
кол-во_месяцев_с_последнего_нарушения has 892120 (73.7%) missing values Missing
совокупный_доход_заемщиков has 1187546 (98.1%) missing values Missing
совокупный_пдн_заемщиков has 1187548 (98.1%) missing values Missing
общая_сумма_взысканий has 60767 (5.0%) missing values Missing
общая_сумма_на_счетах has 60767 (5.0%) missing values Missing
кол-во_открытых_счетов_за_полгода has 726902 (60.0%) missing values Missing
кол-во_текущих_аннуитетных_счетов has 726901 (60.0%) missing values Missing
кол-во_аннуитетных_счетов_за_год has 726901 (60.0%) missing values Missing
кол-во_аннуитетных_счетов_за_2_года has 726901 (60.0%) missing values Missing
кол-во_месяцев_с_посл_аннуитетного_счета has 739709 (61.1%) missing values Missing
текущий_баланс_по_аннуитетным_счетам has 726901 (60.0%) missing values Missing
соотношение_сумм_текущего_баланса_к_лимиту_по_аннуитетным_счетам has 792391 (65.4%) missing values Missing
кол-во_возоб_счетов_за_год has 726901 (60.0%) missing values Missing
кол-во_возоб_счетов_за_2_года has 726901 (60.0%) missing values Missing
макс_баланс_по_возоб_счетам has 726901 (60.0%) missing values Missing
соотношение_баланса_к_лимиту_общее has 726952 (60.0%) missing values Missing
общий_лимит_по_возоб_счету has 60767 (5.0%) missing values Missing
кол-во_финансовых_запросов has 726901 (60.0%) missing values Missing
кол-во_финансовых_операций has 726902 (60.0%) missing values Missing
кол-во_заявок_на_кредит_за_год has 726902 (60.0%) missing values Missing
кол-во_открытых_счетов_за_2_года has 42482 (3.5%) missing values Missing
средний_баланс_текущих_счетов has 60788 (5.0%) missing values Missing
суммарная_доступная_сумма_займа_по_картам has 54971 (4.5%) missing values Missing
соотношение_баланса_к_лимиту_по_картам has 55663 (4.6%) missing values Missing
кол-во_месяцев_с_первого_аннуитетного_счета has 95020 (7.8%) missing values Missing
кол-во_месяцев_с_первого_возобновляемого_счета has 60768 (5.0%) missing values Missing
кол-во_месяцев_с_последнего_возобновляемого_счета has 60768 (5.0%) missing values Missing
кол-во_месяцев_с_последнего_счета has 60767 (5.0%) missing values Missing
кол-во_ипотек has 42482 (3.5%) missing values Missing
кол-во_месяцев_с_последней_карты has 54130 (4.5%) missing values Missing
кол-во_мес_с_последней_задолженности_по_карте has 923517 (76.3%) missing values Missing
кол-во_мес_с_последней_заявки has 156537 (12.9%) missing values Missing
кол-во_мес_с_последней_задолженности_по_возобновляемому_счету has 805599 (66.5%) missing values Missing
кол-во_счетов_с_просрочкой_4_мес has 60767 (5.0%) missing values Missing
кол-во_активных_карт has 60767 (5.0%) missing values Missing
кол-во_активных_возобновляемых_счетов has 60767 (5.0%) missing values Missing
кол-во_карт_без_нарушений has 50207 (4.1%) missing values Missing
кол-во_карт has 60767 (5.0%) missing values Missing
кол-во_аннуитетных_счетов has 60767 (5.0%) missing values Missing
кол-во_открытых_возобновляемых_счетов has 60767 (5.0%) missing values Missing
кол-во_возобновляемых_счетов has 60768 (5.0%) missing values Missing
кол-во_возобновляемых_счетов_с_балансом_более_0 has 60767 (5.0%) missing values Missing
кол-во_счетов_без_нарушений has 50207 (4.1%) missing values Missing
кол-во_счетов_с_акт_просрочкой_4_мес_обн_2_мес has 105517 (8.7%) missing values Missing
кол-во_счетов_с_акт_просрочкой_1_мес has 60767 (5.0%) missing values Missing
кол-во_счетов_с_акт_просрочкой_3_мес_за_2_года has 60767 (5.0%) missing values Missing
кол-во_счетов_за_посл_год has 60767 (5.0%) missing values Missing
процент_счетов_без_просрочек has 60902 (5.0%) missing values Missing
процент_счетов_прев_75_лимита has 55331 (4.6%) missing values Missing
кредитный_лимит has 60767 (5.0%) missing values Missing
кредитный_баланс_без_ипотеки has 42482 (3.5%) missing values Missing
лимит_по_картам has 42482 (3.5%) missing values Missing
лимит_по_аннуитетным_счетам has 60767 (5.0%) missing values Missing
кредитный_баланс_по_возоб_счетам has 1193971 (98.6%) missing values Missing
годовой_доход is highly skewed (γ1 = 46.45054107) Skewed
пдн is highly skewed (γ1 = 27.53731809) Skewed
кол-во_текущих_просроченных_счетов is highly skewed (γ1 = 21.97605925) Skewed
общая_сумма_взысканий is highly skewed (γ1 = 636.5495702) Skewed
общий_лимит_по_возоб_счету is highly skewed (γ1 = 42.23486474) Skewed
сумма_задолженности is highly skewed (γ1 = 94.90729773) Skewed
кол-во_счетов_с_акт_просрочкой_4_мес_обн_2_мес is highly skewed (γ1 = 45.69963057) Skewed
кол-во_залогов is highly skewed (γ1 = 33.8159357) Skewed
id has unique values Unique
коэфф_акционных_зачислений_в_остатке has unique values Unique
коэфф_исходного_платежа has unique values Unique
дата_следующей_выплаты is an unsupported type, check if it needs cleaning or further analysis Unsupported
кол_во_субсидий_за_год has 1089250 (90.0%) zeros Zeros
кол-во_просрочек_за_два_года has 977365 (80.7%) zeros Zeros
кол-во_заявок_за_полгода has 693200 (57.3%) zeros Zeros
кол-во_записей_в_общедоступных_документах has 1005710 (83.1%) zeros Zeros
сумма_выплат_по_просрочкам has 1157187 (95.6%) zeros Zeros
кол-во_взысканий_за_последний_год has 1191816 (98.4%) zeros Zeros
кол-во_текущих_просроченных_счетов has 1204992 (99.5%) zeros Zeros
общая_сумма_взысканий has 973752 (80.4%) zeros Zeros
кол-во_открытых_счетов_за_полгода has 196699 (16.2%) zeros Zeros
кол-во_текущих_аннуитетных_счетов has 54165 (4.5%) zeros Zeros
кол-во_аннуитетных_счетов_за_год has 240562 (19.9%) zeros Zeros
кол-во_аннуитетных_счетов_за_2_года has 113336 (9.4%) zeros Zeros
текущий_баланс_по_аннуитетным_счетам has 51268 (4.2%) zeros Zeros
кол-во_возоб_счетов_за_год has 159544 (13.2%) zeros Zeros
кол-во_возоб_счетов_за_2_года has 64694 (5.3%) zeros Zeros
макс_баланс_по_возоб_счетам has 12660 (1.0%) zeros Zeros
кол-во_финансовых_запросов has 234646 (19.4%) zeros Zeros
кол-во_финансовых_операций has 251867 (20.8%) zeros Zeros
кол-во_заявок_на_кредит_за_год has 116618 (9.6%) zeros Zeros
кол-во_открытых_счетов_за_2_года has 46168 (3.8%) zeros Zeros
суммарная_доступная_сумма_займа_по_картам has 19471 (1.6%) zeros Zeros
соотношение_баланса_к_лимиту_по_картам has 13711 (1.1%) zeros Zeros
кол-во_списаний_за_год has 1200999 (99.2%) zeros Zeros
сумма_задолженности has 1206216 (99.6%) zeros Zeros
кол-во_месяцев_с_последнего_возобновляемого_счета has 18257 (1.5%) zeros Zeros
кол-во_месяцев_с_последнего_счета has 18885 (1.6%) zeros Zeros
кол-во_ипотек has 471461 (38.9%) zeros Zeros
кол-во_мес_с_последней_заявки has 97016 (8.0%) zeros Zeros
кол-во_счетов_с_просрочкой_4_мес has 877352 (72.5%) zeros Zeros
кол-во_активных_карт has 24634 (2.0%) zeros Zeros
кол-во_аннуитетных_счетов has 34323 (2.8%) zeros Zeros
кол-во_счетов_с_акт_просрочкой_4_мес_обн_2_мес has 1104393 (91.2%) zeros Zeros
кол-во_счетов_с_акт_просрочкой_3_мес_за_2_года has 1084083 (89.5%) zeros Zeros
кол-во_счетов_за_посл_год has 193513 (16.0%) zeros Zeros
процент_счетов_прев_75_лимита has 278876 (23.0%) zeros Zeros
кол-во_публ_банкротств has 1059314 (87.5%) zeros Zeros
кол-во_залогов has 1171794 (96.8%) zeros Zeros
лимит_по_картам has 12849 (1.1%) zeros Zeros
лимит_по_аннуитетным_счетам has 140517 (11.6%) zeros Zeros

Reproduction

Analysis started2025-07-31 00:02:36.192169
Analysis finished2025-07-31 00:14:54.530479
Duration12 minutes and 18.34 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

id
Real number (ℝ)

Unique 

Distinct1210779
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56343005
Minimum55716
Maximum1.4563637 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:14:54.647132image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum55716
5-th percentile1456249.6
Q120007112
median57734178
Q384546640
95-th percentile1.2486332 × 108
Maximum1.4563637 × 108
Range1.4558066 × 108
Interquartile range (IQR)64539528

Descriptive statistics

Standard deviation38364855
Coefficient of variation (CV)0.68091602
Kurtosis-0.92452256
Mean56343005
Median Absolute Deviation (MAD)31301494
Skewness0.21836903
Sum6.8218928 × 1013
Variance1.4718621 × 1015
MonotonicityNot monotonic
2025-07-31T05:14:54.892432image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68355089 1
 
< 0.1%
143100605 1
 
< 0.1%
143188155 1
 
< 0.1%
143138895 1
 
< 0.1%
143173171 1
 
< 0.1%
143023488 1
 
< 0.1%
142809669 1
 
< 0.1%
143007132 1
 
< 0.1%
143176924 1
 
< 0.1%
143105836 1
 
< 0.1%
Other values (1210769) 1210769
> 99.9%
ValueCountFrequency (%)
55716 1
< 0.1%
55742 1
< 0.1%
56121 1
< 0.1%
56705 1
< 0.1%
57167 1
< 0.1%
57245 1
< 0.1%
57416 1
< 0.1%
58524 1
< 0.1%
58915 1
< 0.1%
59006 1
< 0.1%
ValueCountFrequency (%)
145636374 1
< 0.1%
145623694 1
< 0.1%
145622746 1
< 0.1%
145620416 1
< 0.1%
145619855 1
< 0.1%
145618520 1
< 0.1%
145615251 1
< 0.1%
145613516 1
< 0.1%
145609791 1
< 0.1%
145607948 1
< 0.1%

сумма_займа
Real number (ℝ)

High correlation 

Distinct1551
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean721035.23
Minimum25000
Maximum2000000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:14:55.030212image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum25000
5-th percentile160000
Q1400000
median600000
Q31000000
95-th percentile1646250
Maximum2000000
Range1975000
Interquartile range (IQR)600000

Descriptive statistics

Standard deviation435821.53
Coefficient of variation (CV)0.60443861
Kurtosis-0.081232441
Mean721035.23
Median Absolute Deviation (MAD)300000
Skewness0.78314409
Sum8.7301431 × 1011
Variance1.899404 × 1011
MonotonicityNot monotonic
2025-07-31T05:14:55.163615image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
500000 89607
 
7.4%
600000 65622
 
5.4%
1000000 63337
 
5.2%
750000 63226
 
5.2%
1750000 46110
 
3.8%
250000 44063
 
3.6%
400000 42697
 
3.5%
300000 40466
 
3.3%
800000 32949
 
2.7%
1250000 30763
 
2.5%
Other values (1541) 691939
57.1%
ValueCountFrequency (%)
25000 5
 
< 0.1%
35000 1
 
< 0.1%
36250 1
 
< 0.1%
40000 1
 
< 0.1%
45000 2
 
< 0.1%
47500 1
 
< 0.1%
50000 5149
0.4%
51250 14
 
< 0.1%
52500 33
 
< 0.1%
53750 16
 
< 0.1%
ValueCountFrequency (%)
2000000 6109
0.5%
1998750 3
 
< 0.1%
1997500 2
 
< 0.1%
1995000 6
 
< 0.1%
1993750 1
 
< 0.1%
1992500 2
 
< 0.1%
1991250 2
 
< 0.1%
1990000 1
 
< 0.1%
1988750 6
 
< 0.1%
1987500 3
 
< 0.1%
Distinct650
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.239877
Minimum5.31
Maximum30.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:14:55.294625image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum5.31
5-th percentile6.49
Q19.75
median12.74
Q315.99
95-th percentile22.15
Maximum30.99
Range25.68
Interquartile range (IQR)6.24

Descriptive statistics

Standard deviation4.7672522
Coefficient of variation (CV)0.3600677
Kurtosis0.50386729
Mean13.239877
Median Absolute Deviation (MAD)3.14
Skewness0.71341445
Sum16030565
Variance22.726694
MonotonicityNot monotonic
2025-07-31T05:14:55.410901image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.99 33913
 
2.8%
11.99 29847
 
2.5%
13.99 26366
 
2.2%
5.32 25777
 
2.1%
9.17 23458
 
1.9%
12.99 23038
 
1.9%
7.89 22580
 
1.9%
15.61 20423
 
1.7%
16.99 20385
 
1.7%
9.99 17449
 
1.4%
Other values (640) 967543
79.9%
ValueCountFrequency (%)
5.31 816
 
0.1%
5.32 25777
2.1%
5.42 507
 
< 0.1%
5.79 356
 
< 0.1%
5.93 1640
 
0.1%
5.99 310
 
< 0.1%
6 354
 
< 0.1%
6.03 9695
 
0.8%
6.07 695
 
0.1%
6.08 1163
 
0.1%
ValueCountFrequency (%)
30.99 442
< 0.1%
30.94 400
< 0.1%
30.89 371
< 0.1%
30.84 404
< 0.1%
30.79 689
0.1%
30.75 414
< 0.1%
30.74 278
< 0.1%
30.65 382
< 0.1%
30.49 333
< 0.1%
30.17 466
< 0.1%

аннуитет
Real number (ℝ)

High correlation 

Distinct81156
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21904.779
Minimum246.5
Maximum85991.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:14:55.543103image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum246.5
5-th percentile5437
Q112424
median18771.5
Q329022
95-th percentile48184
Maximum85991.5
Range85745
Interquartile range (IQR)16598

Descriptive statistics

Standard deviation13076.056
Coefficient of variation (CV)0.59694993
Kurtosis0.7520435
Mean21904.779
Median Absolute Deviation (MAD)7777.5
Skewness1.0075787
Sum2.6521847 × 1010
Variance1.7098325 × 108
MonotonicityNot monotonic
2025-07-31T05:14:55.676331image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16367 2743
 
0.2%
16605 2421
 
0.2%
15057.5 2396
 
0.2%
15939.5 2058
 
0.2%
15643 1858
 
0.2%
24550.5 1837
 
0.2%
19640.5 1836
 
0.2%
18069 1776
 
0.1%
22586.5 1744
 
0.1%
30115 1729
 
0.1%
Other values (81146) 1190381
98.3%
ValueCountFrequency (%)
246.5 1
< 0.1%
700.5 1
< 0.1%
738.5 1
< 0.1%
784.5 1
< 0.1%
804 1
< 0.1%
812.5 1
< 0.1%
815.5 1
< 0.1%
823.5 1
< 0.1%
993.5 1
< 0.1%
1011 1
< 0.1%
ValueCountFrequency (%)
85991.5 2
< 0.1%
85881.5 1
 
< 0.1%
85771 2
< 0.1%
85727 3
< 0.1%
84564 1
 
< 0.1%
82351.5 1
 
< 0.1%
81404 1
 
< 0.1%
80901.5 2
< 0.1%
80390 3
< 0.1%
79913 1
 
< 0.1%

годовой_доход
Real number (ℝ)

High correlation  Skewed 

Distinct59988
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1525304.3
Minimum0
Maximum2.19984 × 108
Zeros326
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:14:55.812764image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile560000
Q1915200
median1300000
Q31800000
95-th percentile3100000
Maximum2.19984 × 108
Range2.19984 × 108
Interquartile range (IQR)884800

Descriptive statistics

Standard deviation1401175.9
Coefficient of variation (CV)0.91862056
Kurtosis4840.2826
Mean1525304.3
Median Absolute Deviation (MAD)420000
Skewness46.450541
Sum1.8468064 × 1012
Variance1.9632938 × 1012
MonotonicityNot monotonic
2025-07-31T05:14:55.929964image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1200000 46872
 
3.9%
1000000 41105
 
3.4%
1300000 34732
 
2.9%
1400000 33256
 
2.7%
800000 32105
 
2.7%
1600000 31534
 
2.6%
1500000 31064
 
2.6%
900000 30067
 
2.5%
1100000 28109
 
2.3%
2000000 24125
 
2.0%
Other values (59978) 877810
72.5%
ValueCountFrequency (%)
0 326
< 0.1%
20 11
 
< 0.1%
40 1
 
< 0.1%
320 1
 
< 0.1%
400 1
 
< 0.1%
660 1
 
< 0.1%
780 1
 
< 0.1%
2000 1
 
< 0.1%
5200 1
 
< 0.1%
6000 1
 
< 0.1%
ValueCountFrequency (%)
219984000 1
< 0.1%
191000000 1
< 0.1%
190459440 1
< 0.1%
190000000 1
< 0.1%
186000000 1
< 0.1%
184500000 1
< 0.1%
178001200 1
< 0.1%
174131640 1
< 0.1%
174000000 1
< 0.1%
170000420 1
< 0.1%
Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size57.7 MiB
0
969085 
1
241694 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1210779
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 969085
80.0%
1 241694
 
20.0%

Length

2025-07-31T05:14:56.045143image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T05:14:56.145043image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
0 969085
80.0%
1 241694
 
20.0%

Most occurring characters

ValueCountFrequency (%)
0 969085
80.0%
1 241694
 
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1210779
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 969085
80.0%
1 241694
 
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1210779
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 969085
80.0%
1 241694
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1210779
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 969085
80.0%
1 241694
 
20.0%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size57.7 MiB
2
303264 
4
302688 
1
302458 
3
302369 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1210779
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row4
2nd row2
3rd row3
4th row1
5th row4

Common Values

ValueCountFrequency (%)
2 303264
25.0%
4 302688
25.0%
1 302458
25.0%
3 302369
25.0%

Length

2025-07-31T05:14:56.237044image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T05:14:56.324735image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
2 303264
25.0%
4 302688
25.0%
1 302458
25.0%
3 302369
25.0%

Most occurring characters

ValueCountFrequency (%)
2 303264
25.0%
4 302688
25.0%
1 302458
25.0%
3 302369
25.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1210779
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
2 303264
25.0%
4 302688
25.0%
1 302458
25.0%
3 302369
25.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1210779
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
2 303264
25.0%
4 302688
25.0%
1 302458
25.0%
3 302369
25.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1210779
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
2 303264
25.0%
4 302688
25.0%
1 302458
25.0%
3 302369
25.0%
Distinct1210779
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.50002104
Minimum6.6676775 × 10-7
Maximum0.99999836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:14:56.441323image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum6.6676775 × 10-7
5-th percentile0.049878566
Q10.24987342
median0.50046526
Q30.7498166
95-th percentile0.94988535
Maximum0.99999836
Range0.99999769
Interquartile range (IQR)0.49994317

Descriptive statistics

Standard deviation0.28876646
Coefficient of variation (CV)0.57750862
Kurtosis-1.1995858
Mean0.50002104
Median Absolute Deviation (MAD)0.24998388
Skewness-0.0019791751
Sum605414.98
Variance0.083386069
MonotonicityNot monotonic
2025-07-31T05:14:56.579895image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8991677173 1
 
< 0.1%
0.3035509913 1
 
< 0.1%
0.5976464101 1
 
< 0.1%
0.7956462717 1
 
< 0.1%
0.849933229 1
 
< 0.1%
0.5850044153 1
 
< 0.1%
0.1844458779 1
 
< 0.1%
0.2038447627 1
 
< 0.1%
0.4820721776 1
 
< 0.1%
0.09684797504 1
 
< 0.1%
Other values (1210769) 1210769
> 99.9%
ValueCountFrequency (%)
6.667677476 × 10-71
< 0.1%
7.546450813 × 10-71
< 0.1%
1.683110849 × 10-61
< 0.1%
1.974559979 × 10-61
< 0.1%
4.118460503 × 10-61
< 0.1%
4.56541356 × 10-61
< 0.1%
5.388606805 × 10-61
< 0.1%
6.195517691 × 10-61
< 0.1%
7.8572353 × 10-61
< 0.1%
9.514786631 × 10-61
< 0.1%
ValueCountFrequency (%)
0.9999983558 1
< 0.1%
0.9999978073 1
< 0.1%
0.9999973699 1
< 0.1%
0.9999972837 1
< 0.1%
0.9999969902 1
< 0.1%
0.9999966513 1
< 0.1%
0.9999964018 1
< 0.1%
0.9999951897 1
< 0.1%
0.999994653 1
< 0.1%
0.9999945969 1
< 0.1%
Distinct6
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.30090049
Minimum0
Maximum5
Zeros1089250
Zeros (%)90.0%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:14:56.674092image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.0068239
Coefficient of variation (CV)3.3460359
Kurtosis11.446344
Mean0.30090049
Median Absolute Deviation (MAD)0
Skewness3.509346
Sum364324
Variance1.0136943
MonotonicityNot monotonic
2025-07-31T05:14:56.774948image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1089250
90.0%
5 24558
 
2.0%
2 24504
 
2.0%
1 24490
 
2.0%
4 24105
 
2.0%
3 23872
 
2.0%
ValueCountFrequency (%)
0 1089250
90.0%
1 24490
 
2.0%
2 24504
 
2.0%
3 23872
 
2.0%
4 24105
 
2.0%
5 24558
 
2.0%
ValueCountFrequency (%)
5 24558
 
2.0%
4 24105
 
2.0%
3 23872
 
2.0%
2 24504
 
2.0%
1 24490
 
2.0%
0 1089250
90.0%
Distinct941
Distinct (%)0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean515.56369
Minimum7
Maximum999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:14:56.890611image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile69
Q1234
median480
Q3805
95-th percentile956
Maximum999
Range992
Interquartile range (IQR)571

Descriptive statistics

Standard deviation312.55483
Coefficient of variation (CV)0.60623902
Kurtosis-1.434065
Mean515.56369
Median Absolute Deviation (MAD)290
Skewness0.035836729
Sum6.2423318 × 108
Variance97690.521
MonotonicityNot monotonic
2025-07-31T05:14:57.026035image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
945 13524
 
1.1%
750 13001
 
1.1%
112 12321
 
1.0%
606 11203
 
0.9%
300 10894
 
0.9%
331 10180
 
0.8%
70 9709
 
0.8%
891 9544
 
0.8%
100 9534
 
0.8%
900 9520
 
0.8%
Other values (931) 1101348
91.0%
ValueCountFrequency (%)
7 5
 
< 0.1%
8 5
 
< 0.1%
9 1
 
< 0.1%
10 1955
0.2%
11 619
 
0.1%
12 453
 
< 0.1%
13 322
 
< 0.1%
14 882
0.1%
15 1838
0.2%
16 702
 
0.1%
ValueCountFrequency (%)
999 83
 
< 0.1%
998 225
 
< 0.1%
997 538
 
< 0.1%
996 657
0.1%
995 1369
0.1%
994 59
 
< 0.1%
993 1147
0.1%
992 1190
0.1%
991 302
 
< 0.1%
990 478
 
< 0.1%

пдн
Real number (ℝ)

High correlation  Skewed 

Distinct6892
Distinct (%)0.6%
Missing338
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean18.2866
Minimum-1
Maximum999
Zeros761
Zeros (%)0.1%
Negative1
Negative (%)< 0.1%
Memory size9.2 MiB
2025-07-31T05:14:57.145089image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile4.98
Q111.79
median17.61
Q324.06
95-th percentile32.98
Maximum999
Range1000
Interquartile range (IQR)12.27

Descriptive statistics

Standard deviation11.256414
Coefficient of variation (CV)0.6155553
Kurtosis2121.7082
Mean18.2866
Median Absolute Deviation (MAD)6.1
Skewness27.537318
Sum22134851
Variance126.70685
MonotonicityNot monotonic
2025-07-31T05:14:57.261695image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.2 892
 
0.1%
18 890
 
0.1%
14.4 865
 
0.1%
16.8 853
 
0.1%
13.2 834
 
0.1%
15.6 830
 
0.1%
12 825
 
0.1%
20.4 781
 
0.1%
21.6 773
 
0.1%
0 761
 
0.1%
Other values (6882) 1202137
99.3%
ValueCountFrequency (%)
-1 1
 
< 0.1%
0 761
0.1%
0.01 11
 
< 0.1%
0.02 21
 
< 0.1%
0.03 9
 
< 0.1%
0.04 7
 
< 0.1%
0.05 12
 
< 0.1%
0.06 22
 
< 0.1%
0.07 20
 
< 0.1%
0.08 17
 
< 0.1%
ValueCountFrequency (%)
999 35
< 0.1%
991.57 1
 
< 0.1%
886.77 1
 
< 0.1%
879.55 1
 
< 0.1%
831.97 1
 
< 0.1%
822 1
 
< 0.1%
818.1 1
 
< 0.1%
797.1 1
 
< 0.1%
771.31 1
 
< 0.1%
765.76 1
 
< 0.1%

кол-во_просрочек_за_два_года
Real number (ℝ)

High correlation  Zeros 

Distinct30
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.31783339
Minimum0
Maximum39
Zeros977365
Zeros (%)80.7%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:14:57.380077image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum39
Range39
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.87746556
Coefficient of variation (CV)2.7607721
Kurtosis59.27638
Mean0.31783339
Median Absolute Deviation (MAD)0
Skewness5.6081211
Sum384826
Variance0.76994581
MonotonicityNot monotonic
2025-07-31T05:14:57.495125image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 977365
80.7%
1 155105
 
12.8%
2 45456
 
3.8%
3 16501
 
1.4%
4 7321
 
0.6%
5 3781
 
0.3%
6 2057
 
0.2%
7 1175
 
0.1%
8 676
 
0.1%
9 423
 
< 0.1%
Other values (20) 919
 
0.1%
ValueCountFrequency (%)
0 977365
80.7%
1 155105
 
12.8%
2 45456
 
3.8%
3 16501
 
1.4%
4 7321
 
0.6%
5 3781
 
0.3%
6 2057
 
0.2%
7 1175
 
0.1%
8 676
 
0.1%
9 423
 
< 0.1%
ValueCountFrequency (%)
39 1
 
< 0.1%
30 1
 
< 0.1%
29 2
 
< 0.1%
28 1
 
< 0.1%
27 1
 
< 0.1%
26 3
 
< 0.1%
25 2
 
< 0.1%
22 3
 
< 0.1%
21 5
< 0.1%
20 9
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size77.4 MiB
1345311.5381317567
1210779 

Length

Max length18
Median length18
Mean length18
Min length18

Characters and Unicode

Total characters21794022
Distinct characters8
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1345311.5381317567
2nd row1345311.5381317567
3rd row1345311.5381317567
4th row1345311.5381317567
5th row1345311.5381317567

Common Values

ValueCountFrequency (%)
1345311.5381317567 1210779
100.0%

Length

2025-07-31T05:14:57.624765image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T05:14:57.710850image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
1345311.5381317567 1210779
100.0%

Most occurring characters

ValueCountFrequency (%)
1 6053895
27.8%
3 4843116
22.2%
5 3632337
16.7%
7 2421558
 
11.1%
4 1210779
 
5.6%
. 1210779
 
5.6%
8 1210779
 
5.6%
6 1210779
 
5.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 21794022
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 6053895
27.8%
3 4843116
22.2%
5 3632337
16.7%
7 2421558
 
11.1%
4 1210779
 
5.6%
. 1210779
 
5.6%
8 1210779
 
5.6%
6 1210779
 
5.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 21794022
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 6053895
27.8%
3 4843116
22.2%
5 3632337
16.7%
7 2421558
 
11.1%
4 1210779
 
5.6%
. 1210779
 
5.6%
8 1210779
 
5.6%
6 1210779
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 21794022
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 6053895
27.8%
3 4843116
22.2%
5 3632337
16.7%
7 2421558
 
11.1%
4 1210779
 
5.6%
. 1210779
 
5.6%
8 1210779
 
5.6%
6 1210779
 
5.6%
Distinct1210779
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.49991399
Minimum1.3531728 × 10-6
Maximum0.99999785
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:14:57.825809image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum1.3531728 × 10-6
5-th percentile0.050025876
Q10.24991263
median0.49961102
Q30.74996723
95-th percentile0.9498049
Maximum0.99999785
Range0.99999649
Interquartile range (IQR)0.5000546

Descriptive statistics

Standard deviation0.28858457
Coefficient of variation (CV)0.57726844
Kurtosis-1.2002097
Mean0.49991399
Median Absolute Deviation (MAD)0.25003645
Skewness0.0010657
Sum605285.36
Variance0.083281053
MonotonicityNot monotonic
2025-07-31T05:14:57.942984image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.7670162198 1
 
< 0.1%
0.3148095297 1
 
< 0.1%
0.3954029061 1
 
< 0.1%
0.7797590287 1
 
< 0.1%
0.6018061757 1
 
< 0.1%
0.740081069 1
 
< 0.1%
0.6704462151 1
 
< 0.1%
0.09668004197 1
 
< 0.1%
0.2138854273 1
 
< 0.1%
0.9811913331 1
 
< 0.1%
Other values (1210769) 1210769
> 99.9%
ValueCountFrequency (%)
1.35317282 × 10-61
< 0.1%
1.504499755 × 10-61
< 0.1%
1.965621048 × 10-61
< 0.1%
2.783580392 × 10-61
< 0.1%
3.720722337 × 10-61
< 0.1%
3.939489371 × 10-61
< 0.1%
4.771932461 × 10-61
< 0.1%
6.211863536 × 10-61
< 0.1%
6.455428823 × 10-61
< 0.1%
8.005680403 × 10-61
< 0.1%
ValueCountFrequency (%)
0.9999978481 1
< 0.1%
0.9999969899 1
< 0.1%
0.9999960462 1
< 0.1%
0.9999959979 1
< 0.1%
0.999995276 1
< 0.1%
0.999995018 1
< 0.1%
0.9999946537 1
< 0.1%
0.9999940644 1
< 0.1%
0.9999919992 1
< 0.1%
0.9999917335 1
< 0.1%
Distinct40
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean696.17702
Minimum625
Maximum845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:14:58.058461image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum625
5-th percentile660
Q1670
median690
Q3710
95-th percentile760
Maximum845
Range220
Interquartile range (IQR)40

Descriptive statistics

Standard deviation31.860007
Coefficient of variation (CV)0.045764232
Kurtosis1.6658593
Mean696.17702
Median Absolute Deviation (MAD)20
Skewness1.2867565
Sum8.4291652 × 108
Variance1015.06
MonotonicityNot monotonic
2025-07-31T05:14:58.174680image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
660 108838
 
9.0%
670 105438
 
8.7%
665 105284
 
8.7%
675 94204
 
7.8%
680 93034
 
7.7%
685 81607
 
6.7%
690 79437
 
6.6%
695 71103
 
5.9%
700 65571
 
5.4%
705 58742
 
4.9%
Other values (30) 347521
28.7%
ValueCountFrequency (%)
625 1
 
< 0.1%
630 1
 
< 0.1%
660 108838
9.0%
665 105284
8.7%
670 105438
8.7%
675 94204
7.8%
680 93034
7.7%
685 81607
6.7%
690 79437
6.6%
695 71103
5.9%
ValueCountFrequency (%)
845 170
 
< 0.1%
840 226
 
< 0.1%
835 363
 
< 0.1%
830 641
 
0.1%
825 966
 
0.1%
820 1269
 
0.1%
815 1694
0.1%
810 2125
0.2%
805 2990
0.2%
800 3523
0.3%
Distinct40
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean700.17716
Minimum629
Maximum850
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:14:58.292144image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum629
5-th percentile664
Q1674
median694
Q3714
95-th percentile764
Maximum850
Range221
Interquartile range (IQR)40

Descriptive statistics

Standard deviation31.860665
Coefficient of variation (CV)0.045503719
Kurtosis1.6672658
Mean700.17716
Median Absolute Deviation (MAD)20
Skewness1.286954
Sum8.477598 × 108
Variance1015.102
MonotonicityNot monotonic
2025-07-31T05:14:58.417556image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
664 108838
 
9.0%
674 105438
 
8.7%
669 105284
 
8.7%
679 94204
 
7.8%
684 93034
 
7.7%
689 81607
 
6.7%
694 79437
 
6.6%
699 71103
 
5.9%
704 65571
 
5.4%
709 58742
 
4.9%
Other values (30) 347521
28.7%
ValueCountFrequency (%)
629 1
 
< 0.1%
634 1
 
< 0.1%
664 108838
9.0%
669 105284
8.7%
674 105438
8.7%
679 94204
7.8%
684 93034
7.7%
689 81607
6.7%
694 79437
6.6%
699 71103
5.9%
ValueCountFrequency (%)
850 170
 
< 0.1%
844 226
 
< 0.1%
839 363
 
< 0.1%
834 641
 
0.1%
829 966
 
0.1%
824 1269
 
0.1%
819 1694
0.1%
814 2125
0.2%
809 2990
0.2%
804 3523
0.3%

кол-во_заявок_за_полгода
Real number (ℝ)

High correlation  Zeros 

Distinct9
Distinct (%)< 0.1%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.65527619
Minimum0
Maximum8
Zeros693200
Zeros (%)57.3%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:14:58.531164image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile3
Maximum8
Range8
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.93790266
Coefficient of variation (CV)1.4313089
Kurtosis3.2960222
Mean0.65527619
Median Absolute Deviation (MAD)0
Skewness1.6966753
Sum793394
Variance0.87966141
MonotonicityNot monotonic
2025-07-31T05:14:58.762573image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 693200
57.3%
1 330184
27.3%
2 123079
 
10.2%
3 46535
 
3.8%
4 12462
 
1.0%
5 4395
 
0.4%
6 856
 
0.1%
7 48
 
< 0.1%
8 19
 
< 0.1%
(Missing) 1
 
< 0.1%
ValueCountFrequency (%)
0 693200
57.3%
1 330184
27.3%
2 123079
 
10.2%
3 46535
 
3.8%
4 12462
 
1.0%
5 4395
 
0.4%
6 856
 
0.1%
7 48
 
< 0.1%
8 19
 
< 0.1%
ValueCountFrequency (%)
8 19
 
< 0.1%
7 48
 
< 0.1%
6 856
 
0.1%
5 4395
 
0.4%
4 12462
 
1.0%
3 46535
 
3.8%
2 123079
 
10.2%
1 330184
27.3%
0 693200
57.3%

кол-во_месяцев_с_последней_просрочки
Real number (ℝ)

High correlation  Missing 

Distinct160
Distinct (%)< 0.1%
Missing610561
Missing (%)50.4%
Infinite0
Infinite (%)0.0%
Mean34.310994
Minimum0
Maximum226
Zeros1565
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:14:58.879060image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q116
median31
Q350
95-th percentile74
Maximum226
Range226
Interquartile range (IQR)34

Descriptive statistics

Standard deviation21.914641
Coefficient of variation (CV)0.6387061
Kurtosis-0.73920235
Mean34.310994
Median Absolute Deviation (MAD)17
Skewness0.45355187
Sum20594076
Variance480.25149
MonotonicityNot monotonic
2025-07-31T05:14:59.041931image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 11502
 
0.9%
12 11459
 
0.9%
6 11364
 
0.9%
9 11310
 
0.9%
7 11248
 
0.9%
14 11052
 
0.9%
8 11009
 
0.9%
15 10909
 
0.9%
10 10833
 
0.9%
11 10534
 
0.9%
Other values (150) 488998
40.4%
(Missing) 610561
50.4%
ValueCountFrequency (%)
0 1565
 
0.1%
1 4501
 
0.4%
2 5741
0.5%
3 7145
0.6%
4 8452
0.7%
5 9708
0.8%
6 11364
0.9%
7 11248
0.9%
8 11009
0.9%
9 11310
0.9%
ValueCountFrequency (%)
226 1
< 0.1%
202 1
< 0.1%
192 1
< 0.1%
188 2
< 0.1%
180 1
< 0.1%
178 1
< 0.1%
176 1
< 0.1%
171 2
< 0.1%
170 2
< 0.1%
161 1
< 0.1%
Distinct126
Distinct (%)0.1%
Missing1005117
Missing (%)83.0%
Infinite0
Infinite (%)0.0%
Mean70.630695
Minimum0
Maximum129
Zeros600
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:14:59.177566image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile23
Q153
median72
Q390
95-th percentile113
Maximum129
Range129
Interquartile range (IQR)37

Descriptive statistics

Standard deviation26.596703
Coefficient of variation (CV)0.37656012
Kurtosis-0.49090241
Mean70.630695
Median Absolute Deviation (MAD)19
Skewness-0.25715304
Sum14526050
Variance707.38461
MonotonicityNot monotonic
2025-07-31T05:14:59.311713image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71 3120
 
0.3%
79 3080
 
0.3%
80 3069
 
0.3%
72 3058
 
0.3%
75 3051
 
0.3%
76 3046
 
0.3%
77 3044
 
0.3%
69 3035
 
0.3%
67 3016
 
0.2%
70 2991
 
0.2%
Other values (116) 175152
 
14.5%
(Missing) 1005117
83.0%
ValueCountFrequency (%)
0 600
< 0.1%
1 100
 
< 0.1%
2 105
 
< 0.1%
3 191
 
< 0.1%
4 230
 
< 0.1%
5 270
< 0.1%
6 288
< 0.1%
7 315
< 0.1%
8 385
< 0.1%
9 398
< 0.1%
ValueCountFrequency (%)
129 1
 
< 0.1%
124 1
 
< 0.1%
123 3
 
< 0.1%
122 1
 
< 0.1%
121 9
 
< 0.1%
120 17
 
< 0.1%
119 864
0.1%
118 1644
0.1%
117 1658
0.1%
116 1704
0.1%

кол-во_открытых_счетов
Real number (ℝ)

High correlation 

Distinct83
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.597671
Minimum0
Maximum90
Zeros13
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:14:59.459683image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median11
Q314
95-th percentile22
Maximum90
Range90
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.4763517
Coefficient of variation (CV)0.47219411
Kurtosis3.3502247
Mean11.597671
Median Absolute Deviation (MAD)3
Skewness1.2961552
Sum14042216
Variance29.990428
MonotonicityNot monotonic
2025-07-31T05:14:59.575262image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 107574
 
8.9%
10 104703
 
8.6%
8 102961
 
8.5%
11 96556
 
8.0%
7 92818
 
7.7%
12 86643
 
7.2%
6 76927
 
6.4%
13 75465
 
6.2%
14 64350
 
5.3%
5 55506
 
4.6%
Other values (73) 347276
28.7%
ValueCountFrequency (%)
0 13
 
< 0.1%
1 449
 
< 0.1%
2 4389
 
0.4%
3 14790
 
1.2%
4 33586
 
2.8%
5 55506
4.6%
6 76927
6.4%
7 92818
7.7%
8 102961
8.5%
9 107574
8.9%
ValueCountFrequency (%)
90 1
 
< 0.1%
88 1
 
< 0.1%
86 1
 
< 0.1%
84 1
 
< 0.1%
82 1
 
< 0.1%
81 1
 
< 0.1%
80 2
< 0.1%
77 1
 
< 0.1%
76 3
< 0.1%
75 1
 
< 0.1%
Distinct36
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.21541338
Minimum0
Maximum86
Zeros1005710
Zeros (%)83.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:14:59.709778image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum86
Range86
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.60338512
Coefficient of variation (CV)2.8010568
Kurtosis792.90364
Mean0.21541338
Median Absolute Deviation (MAD)0
Skewness11.92102
Sum260818
Variance0.36407361
MonotonicityNot monotonic
2025-07-31T05:14:59.823611image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
0 1005710
83.1%
1 171598
 
14.2%
2 22035
 
1.8%
3 6665
 
0.6%
4 2385
 
0.2%
5 1154
 
0.1%
6 580
 
< 0.1%
7 249
 
< 0.1%
8 144
 
< 0.1%
9 75
 
< 0.1%
Other values (26) 184
 
< 0.1%
ValueCountFrequency (%)
0 1005710
83.1%
1 171598
 
14.2%
2 22035
 
1.8%
3 6665
 
0.6%
4 2385
 
0.2%
5 1154
 
0.1%
6 580
 
< 0.1%
7 249
 
< 0.1%
8 144
 
< 0.1%
9 75
 
< 0.1%
ValueCountFrequency (%)
86 1
< 0.1%
63 1
< 0.1%
61 1
< 0.1%
54 1
< 0.1%
49 2
< 0.1%
47 1
< 0.1%
46 1
< 0.1%
37 1
< 0.1%
34 1
< 0.1%
28 2
< 0.1%

оборотный_баланс
Real number (ℝ)

High correlation 

Distinct81108
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16254.904
Minimum0
Maximum2568995
Zeros5900
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:14:59.953548image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1668
Q15942.5
median11136
Q319773
95-th percentile43389
Maximum2568995
Range2568995
Interquartile range (IQR)13830.5

Descriptive statistics

Standard deviation22257.855
Coefficient of variation (CV)1.369301
Kurtosis562.30188
Mean16254.904
Median Absolute Deviation (MAD)6168
Skewness12.741687
Sum1.9681096 × 1010
Variance4.9541212 × 108
MonotonicityNot monotonic
2025-07-31T05:15:00.094367image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5900
 
0.5%
5235 93
 
< 0.1%
5853 92
 
< 0.1%
5389 91
 
< 0.1%
5365 91
 
< 0.1%
4777 91
 
< 0.1%
3428 90
 
< 0.1%
6118 90
 
< 0.1%
5271 90
 
< 0.1%
6312 89
 
< 0.1%
Other values (81098) 1204062
99.4%
ValueCountFrequency (%)
0 5900
0.5%
1 64
 
< 0.1%
2 86
 
< 0.1%
3 81
 
< 0.1%
4 74
 
< 0.1%
5 77
 
< 0.1%
6 81
 
< 0.1%
7 68
 
< 0.1%
8 85
 
< 0.1%
9 76
 
< 0.1%
ValueCountFrequency (%)
2568995 1
< 0.1%
2560703 1
< 0.1%
1746716 1
< 0.1%
1743266 1
< 0.1%
1696796 1
< 0.1%
1298783 1
< 0.1%
1190046 1
< 0.1%
1087664 1
< 0.1%
1044210 1
< 0.1%
1043860 1
< 0.1%
Distinct1353
Distinct (%)0.1%
Missing769
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean51.804201
Minimum0
Maximum892.3
Zeros6288
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:00.226719image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.3
Q133.4
median52.2
Q370.7
95-th percentile91.5
Maximum892.3
Range892.3
Interquartile range (IQR)37.3

Descriptive statistics

Standard deviation24.532386
Coefficient of variation (CV)0.47355978
Kurtosis0.35687949
Mean51.804201
Median Absolute Deviation (MAD)18.7
Skewness-0.032906358
Sum62683601
Variance601.83797
MonotonicityNot monotonic
2025-07-31T05:15:00.357911image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6288
 
0.5%
57 2398
 
0.2%
54 2387
 
0.2%
53 2371
 
0.2%
61 2353
 
0.2%
58 2343
 
0.2%
48 2332
 
0.2%
59 2329
 
0.2%
60 2313
 
0.2%
55 2312
 
0.2%
Other values (1343) 1182584
97.7%
ValueCountFrequency (%)
0 6288
0.5%
0.01 1
 
< 0.1%
0.03 1
 
< 0.1%
0.04 1
 
< 0.1%
0.05 1
 
< 0.1%
0.1 832
 
0.1%
0.12 1
 
< 0.1%
0.2 677
 
0.1%
0.3 630
 
0.1%
0.4 558
 
< 0.1%
ValueCountFrequency (%)
892.3 1
< 0.1%
366.6 1
< 0.1%
193 1
< 0.1%
184.6 1
< 0.1%
182.8 1
< 0.1%
180.3 1
< 0.1%
177.7 1
< 0.1%
162 1
< 0.1%
156.3 1
< 0.1%
155.3 1
< 0.1%

кол-во_счетов
Real number (ℝ)

High correlation 

Distinct140
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.984749
Minimum2
Maximum176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:00.510392image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q116
median23
Q332
95-th percentile47
Maximum176
Range174
Interquartile range (IQR)16

Descriptive statistics

Standard deviation11.997455
Coefficient of variation (CV)0.48019114
Kurtosis1.6519612
Mean24.984749
Median Absolute Deviation (MAD)8
Skewness0.95488751
Sum30251009
Variance143.93892
MonotonicityNot monotonic
2025-07-31T05:15:00.644817image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20 43849
 
3.6%
21 43558
 
3.6%
22 43252
 
3.6%
19 43175
 
3.6%
18 42720
 
3.5%
23 42587
 
3.5%
17 42340
 
3.5%
24 41410
 
3.4%
16 40810
 
3.4%
25 40129
 
3.3%
Other values (130) 786949
65.0%
ValueCountFrequency (%)
2 299
 
< 0.1%
3 1175
 
0.1%
4 4333
 
0.4%
5 7075
 
0.6%
6 10404
 
0.9%
7 14013
1.2%
8 17693
1.5%
9 21671
1.8%
10 25370
2.1%
11 28786
2.4%
ValueCountFrequency (%)
176 1
< 0.1%
173 1
< 0.1%
169 1
< 0.1%
156 1
< 0.1%
151 2
< 0.1%
150 1
< 0.1%
146 2
< 0.1%
144 2
< 0.1%
141 1
< 0.1%
140 1
< 0.1%
Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size60.0 MiB
0.0
1210779 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3632337
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1210779
100.0%

Length

2025-07-31T05:15:00.759728image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T05:15:00.845177image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1210779
100.0%

Most occurring characters

ValueCountFrequency (%)
0 2421558
66.7%
. 1210779
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3632337
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2421558
66.7%
. 1210779
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3632337
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2421558
66.7%
. 1210779
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3632337
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2421558
66.7%
. 1210779
33.3%
Distinct14833
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79.299546
Minimum-1 × 10-7
Maximum59441.5
Zeros1157187
Zeros (%)95.6%
Negative3
Negative (%)< 0.1%
Memory size9.2 MiB
2025-07-31T05:15:00.945251image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum-1 × 10-7
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum59441.5
Range59441.5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation542.41398
Coefficient of variation (CV)6.840064
Kurtosis852.98533
Mean79.299546
Median Absolute Deviation (MAD)0
Skewness19.391729
Sum96014226
Variance294212.92
MonotonicityNot monotonic
2025-07-31T05:15:01.093054image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1157187
95.6%
750 11017
 
0.9%
1500 2007
 
0.2%
2250 667
 
0.1%
3000 262
 
< 0.1%
3750 119
 
< 0.1%
818.5 99
 
< 0.1%
797 87
 
< 0.1%
830.5 80
 
< 0.1%
1250 72
 
< 0.1%
Other values (14823) 39182
 
3.2%
ValueCountFrequency (%)
-1 × 10-71
 
< 0.1%
-9 × 10-81
 
< 0.1%
-1 × 10-81
 
< 0.1%
0 1157187
95.6%
5 × 10-96
 
< 0.1%
1 × 10-84
 
< 0.1%
1.5 × 10-84
 
< 0.1%
2 × 10-81
 
< 0.1%
2.5 × 10-82
 
< 0.1%
3 × 10-82
 
< 0.1%
ValueCountFrequency (%)
59441.5 1
< 0.1%
54918.00007 1
< 0.1%
46785.0001 1
< 0.1%
46490.00012 1
< 0.1%
44340 1
< 0.1%
43708.5 1
< 0.1%
43202 1
< 0.1%
36592.00031 1
< 0.1%
36240.00007 1
< 0.1%
35882.00005 1
< 0.1%

дата_следующей_выплаты
Unsupported

Missing  Rejected  Unsupported 

Missing1210779
Missing (%)100.0%
Memory size9.2 MiB
Distinct5
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size57.7 MiB
3
242582 
5
242499 
4
242268 
1
241877 
2
241553 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters1210779
Distinct characters5
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row1
3rd row4
4th row3
5th row2

Common Values

ValueCountFrequency (%)
3 242582
20.0%
5 242499
20.0%
4 242268
20.0%
1 241877
20.0%
2 241553
20.0%

Length

2025-07-31T05:15:01.224271image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T05:15:01.325323image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
3 242582
20.0%
5 242499
20.0%
4 242268
20.0%
1 241877
20.0%
2 241553
20.0%

Most occurring characters

ValueCountFrequency (%)
3 242582
20.0%
5 242499
20.0%
4 242268
20.0%
1 241877
20.0%
2 241553
20.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1210779
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
3 242582
20.0%
5 242499
20.0%
4 242268
20.0%
1 241877
20.0%
2 241553
20.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1210779
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
3 242582
20.0%
5 242499
20.0%
4 242268
20.0%
1 241877
20.0%
2 241553
20.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1210779
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
3 242582
20.0%
5 242499
20.0%
4 242268
20.0%
1 241877
20.0%
2 241553
20.0%
Distinct15
Distinct (%)< 0.1%
Missing47
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.017142522
Minimum0
Maximum20
Zeros1191816
Zeros (%)98.4%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:01.441926image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum20
Range20
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.14751187
Coefficient of variation (CV)8.6050274
Kurtosis743.1048
Mean0.017142522
Median Absolute Deviation (MAD)0
Skewness15.373284
Sum20755
Variance0.021759753
MonotonicityNot monotonic
2025-07-31T05:15:01.558321image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 1191816
98.4%
1 17517
 
1.4%
2 1169
 
0.1%
3 143
 
< 0.1%
4 49
 
< 0.1%
5 16
 
< 0.1%
6 9
 
< 0.1%
7 3
 
< 0.1%
10 2
 
< 0.1%
12 2
 
< 0.1%
Other values (5) 6
 
< 0.1%
(Missing) 47
 
< 0.1%
ValueCountFrequency (%)
0 1191816
98.4%
1 17517
 
1.4%
2 1169
 
0.1%
3 143
 
< 0.1%
4 49
 
< 0.1%
5 16
 
< 0.1%
6 9
 
< 0.1%
7 3
 
< 0.1%
8 1
 
< 0.1%
9 2
 
< 0.1%
ValueCountFrequency (%)
20 1
 
< 0.1%
16 1
 
< 0.1%
14 1
 
< 0.1%
12 2
 
< 0.1%
10 2
 
< 0.1%
9 2
 
< 0.1%
8 1
 
< 0.1%
7 3
 
< 0.1%
6 9
< 0.1%
5 16
< 0.1%

кол-во_месяцев_с_последнего_нарушения
Real number (ℝ)

High correlation  Missing 

Distinct172
Distinct (%)0.1%
Missing892120
Missing (%)73.7%
Infinite0
Infinite (%)0.0%
Mean43.701741
Minimum0
Maximum226
Zeros234
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:01.678954image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q127
median44
Q361
95-th percentile77
Maximum226
Range226
Interquartile range (IQR)34

Descriptive statistics

Standard deviation21.372259
Coefficient of variation (CV)0.48904822
Kurtosis-0.67688785
Mean43.701741
Median Absolute Deviation (MAD)17
Skewness0.056466006
Sum13925953
Variance456.77344
MonotonicityNot monotonic
2025-07-31T05:15:01.806693image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45 5009
 
0.4%
40 4991
 
0.4%
43 4980
 
0.4%
42 4957
 
0.4%
44 4953
 
0.4%
41 4941
 
0.4%
46 4930
 
0.4%
38 4911
 
0.4%
48 4885
 
0.4%
47 4874
 
0.4%
Other values (162) 269228
 
22.2%
(Missing) 892120
73.7%
ValueCountFrequency (%)
0 234
 
< 0.1%
1 895
 
0.1%
2 1021
 
0.1%
3 1117
0.1%
4 1470
0.1%
5 1874
0.2%
6 2261
0.2%
7 2373
0.2%
8 2554
0.2%
9 2687
0.2%
ValueCountFrequency (%)
226 1
< 0.1%
202 1
< 0.1%
197 1
< 0.1%
192 1
< 0.1%
188 2
< 0.1%
180 1
< 0.1%
178 1
< 0.1%
176 1
< 0.1%
175 1
< 0.1%
171 2
< 0.1%

код_политики
Categorical

Constant 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size60.0 MiB
1.0
1210779 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3632337
Distinct characters3
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.0 1210779
100.0%

Length

2025-07-31T05:15:01.945993image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T05:15:02.055487image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
1.0 1210779
100.0%

Most occurring characters

ValueCountFrequency (%)
1 1210779
33.3%
. 1210779
33.3%
0 1210779
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3632337
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
1 1210779
33.3%
. 1210779
33.3%
0 1210779
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3632337
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
1 1210779
33.3%
. 1210779
33.3%
0 1210779
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3632337
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
1 1210779
33.3%
. 1210779
33.3%
0 1210779
33.3%

совокупный_доход_заемщиков
Real number (ℝ)

High correlation  Missing 

Distinct4714
Distinct (%)20.3%
Missing1187546
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean5869318
Minimum550000
Maximum91850000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:02.174661image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum550000
5-th percentile2550000
Q14000000
median5328750
Q37000000
95-th percentile10750000
Maximum91850000
Range91300000
Interquartile range (IQR)3000000

Descriptive statistics

Standard deviation2981315.9
Coefficient of variation (CV)0.50794929
Kurtosis59.000365
Mean5869318
Median Absolute Deviation (MAD)1428750
Skewness4.1438304
Sum1.3636187 × 1011
Variance8.8882446 × 1012
MonotonicityNot monotonic
2025-07-31T05:15:02.290417image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5000000 420
 
< 0.1%
5500000 409
 
< 0.1%
6000000 387
 
< 0.1%
4500000 382
 
< 0.1%
6500000 337
 
< 0.1%
4000000 313
 
< 0.1%
5250000 292
 
< 0.1%
6250000 281
 
< 0.1%
7500000 277
 
< 0.1%
5750000 276
 
< 0.1%
Other values (4704) 19859
 
1.6%
(Missing) 1187546
98.1%
ValueCountFrequency (%)
550000 1
< 0.1%
770000 1
< 0.1%
900000 1
< 0.1%
903600 1
< 0.1%
906100 1
< 0.1%
924000 1
< 0.1%
960000 1
< 0.1%
978000 1
< 0.1%
989400 1
< 0.1%
1000000 1
< 0.1%
ValueCountFrequency (%)
91850000 1
< 0.1%
67500000 1
< 0.1%
60500000 1
< 0.1%
53000000 1
< 0.1%
50000000 1
< 0.1%
47500000 1
< 0.1%
40000000 1
< 0.1%
39000000 1
< 0.1%
36250000 1
< 0.1%
35250000 1
< 0.1%

совокупный_пдн_заемщиков
Real number (ℝ)

High correlation  Missing 

Distinct3599
Distinct (%)15.5%
Missing1187548
Missing (%)98.1%
Infinite0
Infinite (%)0.0%
Mean18.88083
Minimum0
Maximum69.49
Zeros6
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:02.394717image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.76
Q113.305
median18.43
Q324.13
95-th percentile32.36
Maximum69.49
Range69.49
Interquartile range (IQR)10.825

Descriptive statistics

Standard deviation7.7041247
Coefficient of variation (CV)0.40803952
Kurtosis-0.12639777
Mean18.88083
Median Absolute Deviation (MAD)5.4
Skewness0.26947904
Sum438620.56
Variance59.353538
MonotonicityNot monotonic
2025-07-31T05:15:02.690476image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.1 26
 
< 0.1%
18.27 23
 
< 0.1%
21.08 21
 
< 0.1%
18.54 21
 
< 0.1%
17.33 21
 
< 0.1%
16.97 20
 
< 0.1%
19.23 20
 
< 0.1%
15.32 19
 
< 0.1%
14.84 19
 
< 0.1%
14.92 19
 
< 0.1%
Other values (3589) 23022
 
1.9%
(Missing) 1187548
98.1%
ValueCountFrequency (%)
0 6
< 0.1%
0.19 1
 
< 0.1%
0.23 1
 
< 0.1%
0.29 1
 
< 0.1%
0.3 1
 
< 0.1%
0.32 1
 
< 0.1%
0.34 1
 
< 0.1%
0.39 2
 
< 0.1%
0.42 1
 
< 0.1%
0.43 1
 
< 0.1%
ValueCountFrequency (%)
69.49 1
< 0.1%
63.66 1
< 0.1%
61.9 1
< 0.1%
61.28 1
< 0.1%
55.52 1
< 0.1%
54.19 1
< 0.1%
49.45 1
< 0.1%
48.58 1
< 0.1%
46.86 1
< 0.1%
46.84 1
< 0.1%

кол-во_текущих_просроченных_счетов
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct8
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0051314071
Minimum0
Maximum14
Zeros1204992
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:02.791736image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum14
Range14
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.07809918
Coefficient of variation (CV)15.219837
Kurtosis1265.6746
Mean0.0051314071
Median Absolute Deviation (MAD)0
Skewness21.976059
Sum6213
Variance0.006099482
MonotonicityNot monotonic
2025-07-31T05:15:02.890160image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
0 1204992
99.5%
1 5446
 
0.4%
2 286
 
< 0.1%
3 40
 
< 0.1%
4 10
 
< 0.1%
5 3
 
< 0.1%
6 1
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
0 1204992
99.5%
1 5446
 
0.4%
2 286
 
< 0.1%
3 40
 
< 0.1%
4 10
 
< 0.1%
5 3
 
< 0.1%
6 1
 
< 0.1%
14 1
 
< 0.1%
ValueCountFrequency (%)
14 1
 
< 0.1%
6 1
 
< 0.1%
5 3
 
< 0.1%
4 10
 
< 0.1%
3 40
 
< 0.1%
2 286
 
< 0.1%
1 5446
 
0.4%
0 1204992
99.5%

общая_сумма_взысканий
Real number (ℝ)

Missing  Skewed  Zeros 

Distinct12311
Distinct (%)1.1%
Missing60767
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean250.86664
Minimum0
Maximum9152545
Zeros973752
Zeros (%)80.4%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:03.030897image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile775
Maximum9152545
Range9152545
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11635.818
Coefficient of variation (CV)46.382487
Kurtosis439741.55
Mean250.86664
Median Absolute Deviation (MAD)0
Skewness636.54957
Sum2.8849964 × 108
Variance1.3539227 × 108
MonotonicityNot monotonic
2025-07-31T05:15:03.161105image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 973752
80.4%
50 2283
 
0.2%
100 1914
 
0.2%
75 1411
 
0.1%
150 1037
 
0.1%
200 1035
 
0.1%
60 988
 
0.1%
70 834
 
0.1%
80 825
 
0.1%
55 696
 
0.1%
Other values (12301) 165237
 
13.6%
(Missing) 60767
 
5.0%
ValueCountFrequency (%)
0 973752
80.4%
2 4
 
< 0.1%
3 2
 
< 0.1%
4 1
 
< 0.1%
5 1
 
< 0.1%
6 2
 
< 0.1%
7 2
 
< 0.1%
8 3
 
< 0.1%
9 4
 
< 0.1%
10 16
 
< 0.1%
ValueCountFrequency (%)
9152545 1
< 0.1%
6214661 1
< 0.1%
5252395 1
< 0.1%
932461 1
< 0.1%
848438 1
< 0.1%
380757 1
< 0.1%
309838 1
< 0.1%
296368 1
< 0.1%
227157 1
< 0.1%
224107 1
< 0.1%
Distinct90000
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean54972.619
Minimum10000
Maximum99999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:03.292517image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum10000
5-th percentile14503
Q132451
median54955
Q377482
95-th percentile95476
Maximum99999
Range89999
Interquartile range (IQR)45031

Descriptive statistics

Standard deviation25984.434
Coefficient of variation (CV)0.47267957
Kurtosis-1.2014871
Mean54972.619
Median Absolute Deviation (MAD)22516
Skewness0.00083067518
Sum6.6559693 × 1010
Variance6.751908 × 108
MonotonicityNot monotonic
2025-07-31T05:15:03.439898image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44724 32
 
< 0.1%
44819 30
 
< 0.1%
34849 30
 
< 0.1%
68688 30
 
< 0.1%
19496 29
 
< 0.1%
17768 29
 
< 0.1%
37337 29
 
< 0.1%
16519 29
 
< 0.1%
20459 29
 
< 0.1%
81836 29
 
< 0.1%
Other values (89990) 1210483
> 99.9%
ValueCountFrequency (%)
10000 14
< 0.1%
10001 10
< 0.1%
10002 11
< 0.1%
10003 9
< 0.1%
10004 15
< 0.1%
10005 13
< 0.1%
10006 7
< 0.1%
10007 13
< 0.1%
10008 10
< 0.1%
10009 17
< 0.1%
ValueCountFrequency (%)
99999 10
< 0.1%
99998 16
< 0.1%
99997 16
< 0.1%
99996 17
< 0.1%
99995 15
< 0.1%
99994 14
< 0.1%
99993 7
< 0.1%
99992 8
< 0.1%
99991 14
< 0.1%
99990 7
< 0.1%

общая_сумма_на_счетах
Real number (ℝ)

High correlation  Missing 

Distinct384016
Distinct (%)33.4%
Missing60767
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean7060188.8
Minimum0
Maximum4.000039 × 108
Zeros342
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:03.577014image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile430900
Q11471400
median4014300
Q310536625
95-th percentile21695045
Maximum4.000039 × 108
Range4.000039 × 108
Interquartile range (IQR)9065225

Descriptive statistics

Standard deviation7887556.9
Coefficient of variation (CV)1.1171878
Kurtosis27.577337
Mean7060188.8
Median Absolute Deviation (MAD)3175025
Skewness2.9260205
Sum8.1193019 × 1012
Variance6.2213554 × 1013
MonotonicityNot monotonic
2025-07-31T05:15:03.727253image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 342
 
< 0.1%
1442100 27
 
< 0.1%
1509550 26
 
< 0.1%
1257400 25
 
< 0.1%
863600 25
 
< 0.1%
1237100 25
 
< 0.1%
725550 25
 
< 0.1%
733550 24
 
< 0.1%
1058400 24
 
< 0.1%
915550 24
 
< 0.1%
Other values (384006) 1149445
94.9%
(Missing) 60767
 
5.0%
ValueCountFrequency (%)
0 342
< 0.1%
50 5
 
< 0.1%
100 9
 
< 0.1%
150 8
 
< 0.1%
200 7
 
< 0.1%
250 7
 
< 0.1%
300 8
 
< 0.1%
350 4
 
< 0.1%
400 5
 
< 0.1%
450 9
 
< 0.1%
ValueCountFrequency (%)
400003900 1
< 0.1%
272250600 1
< 0.1%
258609250 1
< 0.1%
238627450 1
< 0.1%
226755700 1
< 0.1%
207577350 1
< 0.1%
201320250 1
< 0.1%
194072450 1
< 0.1%
192039750 1
< 0.1%
189840550 1
< 0.1%

кол-во_открытых_счетов_за_полгода
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct19
Distinct (%)< 0.1%
Missing726902
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean1.0505604
Minimum0
Maximum18
Zeros196699
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:03.841671image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile3
Maximum18
Range18
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.2090031
Coefficient of variation (CV)1.1508174
Kurtosis4.3619135
Mean1.0505604
Median Absolute Deviation (MAD)1
Skewness1.6193
Sum508342
Variance1.4616886
MonotonicityNot monotonic
2025-07-31T05:15:03.958346image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 196699
 
16.2%
1 154034
 
12.7%
2 79135
 
6.5%
3 33354
 
2.8%
4 12782
 
1.1%
5 4741
 
0.4%
6 1848
 
0.2%
7 724
 
0.1%
8 302
 
< 0.1%
9 138
 
< 0.1%
Other values (9) 120
 
< 0.1%
(Missing) 726902
60.0%
ValueCountFrequency (%)
0 196699
16.2%
1 154034
12.7%
2 79135
6.5%
3 33354
 
2.8%
4 12782
 
1.1%
5 4741
 
0.4%
6 1848
 
0.2%
7 724
 
0.1%
8 302
 
< 0.1%
9 138
 
< 0.1%
ValueCountFrequency (%)
18 1
 
< 0.1%
17 1
 
< 0.1%
16 2
 
< 0.1%
15 1
 
< 0.1%
14 6
 
< 0.1%
13 3
 
< 0.1%
12 18
 
< 0.1%
11 28
 
< 0.1%
10 60
< 0.1%
9 138
< 0.1%

кол-во_текущих_аннуитетных_счетов
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct47
Distinct (%)< 0.1%
Missing726901
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean2.7929395
Minimum0
Maximum53
Zeros54165
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:04.090070image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile9
Maximum53
Range53
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.9916561
Coefficient of variation (CV)1.0711496
Kurtosis13.673166
Mean2.7929395
Median Absolute Deviation (MAD)1
Skewness3.001047
Sum1351442
Variance8.9500063
MonotonicityNot monotonic
2025-07-31T05:15:04.259197image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1 122943
 
10.2%
2 118505
 
9.8%
3 74719
 
6.2%
0 54165
 
4.5%
4 39432
 
3.3%
5 21492
 
1.8%
6 12879
 
1.1%
7 8862
 
0.7%
8 6443
 
0.5%
9 5020
 
0.4%
Other values (37) 19418
 
1.6%
(Missing) 726901
60.0%
ValueCountFrequency (%)
0 54165
4.5%
1 122943
10.2%
2 118505
9.8%
3 74719
6.2%
4 39432
 
3.3%
5 21492
 
1.8%
6 12879
 
1.1%
7 8862
 
0.7%
8 6443
 
0.5%
9 5020
 
0.4%
ValueCountFrequency (%)
53 1
 
< 0.1%
49 1
 
< 0.1%
48 1
 
< 0.1%
45 1
 
< 0.1%
43 1
 
< 0.1%
41 1
 
< 0.1%
40 3
< 0.1%
39 2
< 0.1%
38 2
< 0.1%
37 1
 
< 0.1%

кол-во_аннуитетных_счетов_за_год
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct19
Distinct (%)< 0.1%
Missing726901
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean0.77654905
Minimum0
Maximum25
Zeros240562
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:04.376297image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile3
Maximum25
Range25
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.99352056
Coefficient of variation (CV)1.2794048
Kurtosis6.4161895
Mean0.77654905
Median Absolute Deviation (MAD)1
Skewness1.7748171
Sum375755
Variance0.98708311
MonotonicityNot monotonic
2025-07-31T05:15:04.492561image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 240562
 
19.9%
1 153078
 
12.6%
2 61937
 
5.1%
3 19156
 
1.6%
4 6111
 
0.5%
5 2015
 
0.2%
6 696
 
0.1%
7 167
 
< 0.1%
8 72
 
< 0.1%
9 35
 
< 0.1%
Other values (9) 49
 
< 0.1%
(Missing) 726901
60.0%
ValueCountFrequency (%)
0 240562
19.9%
1 153078
12.6%
2 61937
 
5.1%
3 19156
 
1.6%
4 6111
 
0.5%
5 2015
 
0.2%
6 696
 
0.1%
7 167
 
< 0.1%
8 72
 
< 0.1%
9 35
 
< 0.1%
ValueCountFrequency (%)
25 1
 
< 0.1%
21 1
 
< 0.1%
20 2
 
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
13 4
 
< 0.1%
12 5
 
< 0.1%
11 13
 
< 0.1%
10 21
< 0.1%
9 35
< 0.1%

кол-во_аннуитетных_счетов_за_2_года
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct31
Distinct (%)< 0.1%
Missing726901
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean1.7432059
Minimum0
Maximum51
Zeros113336
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:04.625970image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q32
95-th percentile5
Maximum51
Range51
Interquartile range (IQR)1

Descriptive statistics

Standard deviation1.6863393
Coefficient of variation (CV)0.96737815
Kurtosis8.0038182
Mean1.7432059
Median Absolute Deviation (MAD)1
Skewness1.8044752
Sum843499
Variance2.8437403
MonotonicityNot monotonic
2025-07-31T05:15:04.740831image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1 146663
 
12.1%
0 113336
 
9.4%
2 103911
 
8.6%
3 58298
 
4.8%
4 29868
 
2.5%
5 15490
 
1.3%
6 7694
 
0.6%
7 3980
 
0.3%
8 2165
 
0.2%
9 1060
 
0.1%
Other values (21) 1413
 
0.1%
(Missing) 726901
60.0%
ValueCountFrequency (%)
0 113336
9.4%
1 146663
12.1%
2 103911
8.6%
3 58298
 
4.8%
4 29868
 
2.5%
5 15490
 
1.3%
6 7694
 
0.6%
7 3980
 
0.3%
8 2165
 
0.2%
9 1060
 
0.1%
ValueCountFrequency (%)
51 1
 
< 0.1%
39 1
 
< 0.1%
31 1
 
< 0.1%
30 1
 
< 0.1%
28 1
 
< 0.1%
26 3
< 0.1%
24 1
 
< 0.1%
23 2
< 0.1%
22 4
< 0.1%
21 3
< 0.1%
Distinct336
Distinct (%)0.1%
Missing739709
Missing (%)61.1%
Infinite0
Infinite (%)0.0%
Mean19.602335
Minimum0
Maximum511
Zeros222
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:04.859366image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median12
Q322
95-th percentile68
Maximum511
Range511
Interquartile range (IQR)16

Descriptive statistics

Standard deviation24.902938
Coefficient of variation (CV)1.2704067
Kurtosis17.941264
Mean19.602335
Median Absolute Deviation (MAD)7
Skewness3.5132686
Sum9234072
Variance620.15633
MonotonicityNot monotonic
2025-07-31T05:15:04.988949image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 23924
 
2.0%
7 23899
 
2.0%
3 23304
 
1.9%
6 22952
 
1.9%
5 22642
 
1.9%
8 22223
 
1.8%
9 20290
 
1.7%
2 19661
 
1.6%
10 18872
 
1.6%
13 18105
 
1.5%
Other values (326) 255198
 
21.1%
(Missing) 739709
61.1%
ValueCountFrequency (%)
0 222
 
< 0.1%
1 10822
0.9%
2 19661
1.6%
3 23304
1.9%
4 23924
2.0%
5 22642
1.9%
6 22952
1.9%
7 23899
2.0%
8 22223
1.8%
9 20290
1.7%
ValueCountFrequency (%)
511 1
< 0.1%
488 1
< 0.1%
446 1
< 0.1%
424 1
< 0.1%
415 1
< 0.1%
414 1
< 0.1%
411 1
< 0.1%
407 1
< 0.1%
397 1
< 0.1%
393 1
< 0.1%

текущий_баланс_по_аннуитетным_счетам
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct114131
Distinct (%)23.6%
Missing726901
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean1793878.3
Minimum0
Maximum85550450
Zeros51268
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:05.133392image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1480500
median1204050
Q32336600
95-th percentile5605457.5
Maximum85550450
Range85550450
Interquartile range (IQR)1856100

Descriptive statistics

Standard deviation2146771.2
Coefficient of variation (CV)1.1967206
Kurtosis33.185052
Mean1793878.3
Median Absolute Deviation (MAD)850925
Skewness3.7552152
Sum8.6801824 × 1011
Variance4.6086265 × 1012
MonotonicityNot monotonic
2025-07-31T05:15:05.258978image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51268
 
4.2%
500000 44
 
< 0.1%
250000 39
 
< 0.1%
750000 37
 
< 0.1%
275000 34
 
< 0.1%
475000 32
 
< 0.1%
1000000 29
 
< 0.1%
150000 26
 
< 0.1%
125000 25
 
< 0.1%
225000 25
 
< 0.1%
Other values (114121) 432319
35.7%
(Missing) 726901
60.0%
ValueCountFrequency (%)
0 51268
4.2%
50 21
 
< 0.1%
100 3
 
< 0.1%
150 3
 
< 0.1%
200 4
 
< 0.1%
250 1
 
< 0.1%
300 3
 
< 0.1%
350 2
 
< 0.1%
400 3
 
< 0.1%
450 3
 
< 0.1%
ValueCountFrequency (%)
85550450 1
< 0.1%
77364250 1
< 0.1%
68928500 1
< 0.1%
53114300 1
< 0.1%
46191800 1
< 0.1%
44624550 1
< 0.1%
43922950 1
< 0.1%
43341900 1
< 0.1%
42643850 1
< 0.1%
41399400 1
< 0.1%
Distinct230
Distinct (%)0.1%
Missing792391
Missing (%)65.4%
Infinite0
Infinite (%)0.0%
Mean71.435412
Minimum0
Maximum558
Zeros2544
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:05.391867image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile28
Q158
median75
Q387
95-th percentile101
Maximum558
Range558
Interquartile range (IQR)29

Descriptive statistics

Standard deviation22.904084
Coefficient of variation (CV)0.32062648
Kurtosis1.7729144
Mean71.435412
Median Absolute Deviation (MAD)14
Skewness-0.45154974
Sum29887719
Variance524.59708
MonotonicityNot monotonic
2025-07-31T05:15:05.532494image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83 8702
 
0.7%
81 8639
 
0.7%
78 8417
 
0.7%
85 8416
 
0.7%
86 8393
 
0.7%
80 8272
 
0.7%
82 8258
 
0.7%
75 8141
 
0.7%
79 8076
 
0.7%
77 8068
 
0.7%
Other values (220) 335006
27.7%
(Missing) 792391
65.4%
ValueCountFrequency (%)
0 2544
0.2%
1 134
 
< 0.1%
2 267
 
< 0.1%
3 459
 
< 0.1%
4 300
 
< 0.1%
5 335
 
< 0.1%
6 449
 
< 0.1%
7 393
 
< 0.1%
8 534
 
< 0.1%
9 429
 
< 0.1%
ValueCountFrequency (%)
558 1
< 0.1%
464 1
< 0.1%
376 1
< 0.1%
311 1
< 0.1%
303 1
< 0.1%
293 1
< 0.1%
291 1
< 0.1%
288 1
< 0.1%
274 1
< 0.1%
272 1
< 0.1%

кол-во_возоб_счетов_за_год
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct27
Distinct (%)< 0.1%
Missing726901
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean1.4203518
Minimum0
Maximum28
Zeros159544
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:05.639747image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum28
Range28
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5758897
Coefficient of variation (CV)1.1095066
Kurtosis7.8806782
Mean1.4203518
Median Absolute Deviation (MAD)1
Skewness1.9824262
Sum687277
Variance2.4834283
MonotonicityNot monotonic
2025-07-31T05:15:05.740870image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
0 159544
 
13.2%
1 144077
 
11.9%
2 89189
 
7.4%
3 46631
 
3.9%
4 22392
 
1.8%
5 10808
 
0.9%
6 5341
 
0.4%
7 2736
 
0.2%
8 1325
 
0.1%
9 748
 
0.1%
Other values (17) 1087
 
0.1%
(Missing) 726901
60.0%
ValueCountFrequency (%)
0 159544
13.2%
1 144077
11.9%
2 89189
7.4%
3 46631
 
3.9%
4 22392
 
1.8%
5 10808
 
0.9%
6 5341
 
0.4%
7 2736
 
0.2%
8 1325
 
0.1%
9 748
 
0.1%
ValueCountFrequency (%)
28 1
 
< 0.1%
26 4
 
< 0.1%
24 2
 
< 0.1%
23 1
 
< 0.1%
22 3
 
< 0.1%
21 3
 
< 0.1%
20 6
 
< 0.1%
19 7
< 0.1%
18 12
< 0.1%
17 17
< 0.1%

кол-во_возоб_счетов_за_2_года
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct47
Distinct (%)< 0.1%
Missing726901
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean3.0056006
Minimum0
Maximum53
Zeros64694
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:05.856365image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile8
Maximum53
Range53
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.703802
Coefficient of variation (CV)0.89958794
Kurtosis8.0086384
Mean3.0056006
Median Absolute Deviation (MAD)1
Skewness1.9255023
Sum1454344
Variance7.3105455
MonotonicityNot monotonic
2025-07-31T05:15:05.992171image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
1 95018
 
7.8%
2 91673
 
7.6%
3 72954
 
6.0%
0 64694
 
5.3%
4 52853
 
4.4%
5 36383
 
3.0%
6 24018
 
2.0%
7 15883
 
1.3%
8 10187
 
0.8%
9 6714
 
0.6%
Other values (37) 13501
 
1.1%
(Missing) 726901
60.0%
ValueCountFrequency (%)
0 64694
5.3%
1 95018
7.8%
2 91673
7.6%
3 72954
6.0%
4 52853
4.4%
5 36383
 
3.0%
6 24018
 
2.0%
7 15883
 
1.3%
8 10187
 
0.8%
9 6714
 
0.6%
ValueCountFrequency (%)
53 1
 
< 0.1%
49 1
 
< 0.1%
45 2
< 0.1%
44 1
 
< 0.1%
43 2
< 0.1%
42 1
 
< 0.1%
40 1
 
< 0.1%
39 3
< 0.1%
38 3
< 0.1%
37 3
< 0.1%

макс_баланс_по_возоб_счетам
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct26934
Distinct (%)5.6%
Missing726901
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean5539.2166
Minimum0
Maximum776843
Zeros12660
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:06.132333image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile306.85
Q12180
median4200
Q37200
95-th percentile15552
Maximum776843
Range776843
Interquartile range (IQR)5020

Descriptive statistics

Standard deviation5476.3771
Coefficient of variation (CV)0.98865554
Kurtosis1033.9657
Mean5539.2166
Median Absolute Deviation (MAD)2316
Skewness11.433854
Sum2.680305 × 109
Variance29990706
MonotonicityNot monotonic
2025-07-31T05:15:06.406214image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12660
 
1.0%
3000 236
 
< 0.1%
2000 205
 
< 0.1%
8 196
 
< 0.1%
4000 182
 
< 0.1%
5000 166
 
< 0.1%
2500 150
 
< 0.1%
3500 130
 
< 0.1%
1900 125
 
< 0.1%
2400 124
 
< 0.1%
Other values (26924) 469704
38.8%
(Missing) 726901
60.0%
ValueCountFrequency (%)
0 12660
1.0%
1 60
 
< 0.1%
2 91
 
< 0.1%
3 86
 
< 0.1%
4 86
 
< 0.1%
5 84
 
< 0.1%
6 93
 
< 0.1%
7 82
 
< 0.1%
8 196
 
< 0.1%
9 95
 
< 0.1%
ValueCountFrequency (%)
776843 1
< 0.1%
457521 1
< 0.1%
389468 1
< 0.1%
301210 1
< 0.1%
298260 1
< 0.1%
250000 1
< 0.1%
208872 1
< 0.1%
207735 1
< 0.1%
171845 1
< 0.1%
170784 1
< 0.1%

соотношение_баланса_к_лимиту_общее
Real number (ℝ)

High correlation  Missing 

Distinct170
Distinct (%)< 0.1%
Missing726952
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean58.171888
Minimum0
Maximum198
Zeros1017
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:06.560302image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21
Q144
median59
Q373
95-th percentile90
Maximum198
Range198
Interquartile range (IQR)29

Descriptive statistics

Standard deviation20.939456
Coefficient of variation (CV)0.35995833
Kurtosis-0.068506103
Mean58.171888
Median Absolute Deviation (MAD)14
Skewness-0.20601383
Sum28145130
Variance438.46081
MonotonicityNot monotonic
2025-07-31T05:15:06.707679image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
63 9354
 
0.8%
64 9325
 
0.8%
60 9253
 
0.8%
59 9202
 
0.8%
65 9196
 
0.8%
66 9163
 
0.8%
62 9136
 
0.8%
67 9131
 
0.8%
61 9030
 
0.7%
58 8938
 
0.7%
Other values (160) 392099
32.4%
(Missing) 726952
60.0%
ValueCountFrequency (%)
0 1017
0.1%
1 604
< 0.1%
2 593
< 0.1%
3 628
0.1%
4 588
< 0.1%
5 671
0.1%
6 668
0.1%
7 750
0.1%
8 782
0.1%
9 878
0.1%
ValueCountFrequency (%)
198 1
< 0.1%
175 1
< 0.1%
173 1
< 0.1%
172 1
< 0.1%
170 1
< 0.1%
169 1
< 0.1%
168 1
< 0.1%
165 1
< 0.1%
163 1
< 0.1%
162 2
< 0.1%

общий_лимит_по_возоб_счету
Real number (ℝ)

High correlation  Missing  Skewed 

Distinct24921
Distinct (%)2.2%
Missing60767
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean1640264.3
Minimum0
Maximum4.9999995 × 108
Zeros544
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:06.856210image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile300000
Q1700000
median1205000
Q32032500
95-th percentile4300000
Maximum4.9999995 × 108
Range4.9999995 × 108
Interquartile range (IQR)1332500

Descriptive statistics

Standard deviation1793466.5
Coefficient of variation (CV)1.0934009
Kurtosis10450.511
Mean1640264.3
Median Absolute Deviation (MAD)595000
Skewness42.234865
Sum1.8863236 × 1012
Variance3.2165219 × 1012
MonotonicityNot monotonic
2025-07-31T05:15:06.994390image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
500000 3896
 
0.3%
750000 3705
 
0.3%
575000 3638
 
0.3%
600000 3638
 
0.3%
650000 3635
 
0.3%
550000 3633
 
0.3%
700000 3622
 
0.3%
675000 3597
 
0.3%
725000 3575
 
0.3%
625000 3566
 
0.3%
Other values (24911) 1113507
92.0%
(Missing) 60767
 
5.0%
ValueCountFrequency (%)
0 544
< 0.1%
5000 15
 
< 0.1%
10000 23
 
< 0.1%
15000 140
 
< 0.1%
20000 55
 
< 0.1%
25000 341
< 0.1%
27500 1
 
< 0.1%
30000 108
 
< 0.1%
30250 1
 
< 0.1%
31450 1
 
< 0.1%
ValueCountFrequency (%)
499999950 2
< 0.1%
100656650 1
< 0.1%
99935000 1
< 0.1%
82635000 1
< 0.1%
82455050 1
< 0.1%
81450000 1
< 0.1%
75430000 1
< 0.1%
65745000 1
< 0.1%
62625000 1
< 0.1%
59225000 1
< 0.1%

кол-во_финансовых_запросов
Real number (ℝ)

Missing  Zeros 

Distinct30
Distinct (%)< 0.1%
Missing726901
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean1.0929449
Minimum0
Maximum48
Zeros234646
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:07.111386image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum48
Range48
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.5868608
Coefficient of variation (CV)1.4519129
Kurtosis13.812888
Mean1.0929449
Median Absolute Deviation (MAD)1
Skewness2.6627896
Sum528852
Variance2.5181273
MonotonicityNot monotonic
2025-07-31T05:15:07.241790image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 234646
 
19.4%
1 119604
 
9.9%
2 62313
 
5.1%
3 31666
 
2.6%
4 16064
 
1.3%
5 8624
 
0.7%
6 4639
 
0.4%
7 2588
 
0.2%
8 1487
 
0.1%
9 869
 
0.1%
Other values (20) 1378
 
0.1%
(Missing) 726901
60.0%
ValueCountFrequency (%)
0 234646
19.4%
1 119604
9.9%
2 62313
 
5.1%
3 31666
 
2.6%
4 16064
 
1.3%
5 8624
 
0.7%
6 4639
 
0.4%
7 2588
 
0.2%
8 1487
 
0.1%
9 869
 
0.1%
ValueCountFrequency (%)
48 1
 
< 0.1%
32 1
 
< 0.1%
28 3
 
< 0.1%
27 1
 
< 0.1%
25 3
 
< 0.1%
24 4
 
< 0.1%
23 4
 
< 0.1%
22 3
 
< 0.1%
21 3
 
< 0.1%
20 11
< 0.1%

кол-во_финансовых_операций
Real number (ℝ)

Missing  Zeros 

Distinct51
Distinct (%)< 0.1%
Missing726902
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean1.6095785
Minimum0
Maximum79
Zeros251867
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:07.373489image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32
95-th percentile7
Maximum79
Range79
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.8254792
Coefficient of variation (CV)1.7554156
Kurtosis19.152843
Mean1.6095785
Median Absolute Deviation (MAD)0
Skewness3.3466671
Sum778838
Variance7.9833328
MonotonicityNot monotonic
2025-07-31T05:15:07.505720image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 251867
 
20.8%
1 81437
 
6.7%
2 46068
 
3.8%
3 29965
 
2.5%
4 20443
 
1.7%
5 14185
 
1.2%
6 10404
 
0.9%
7 7442
 
0.6%
8 5627
 
0.5%
9 4034
 
0.3%
Other values (41) 12405
 
1.0%
(Missing) 726902
60.0%
ValueCountFrequency (%)
0 251867
20.8%
1 81437
 
6.7%
2 46068
 
3.8%
3 29965
 
2.5%
4 20443
 
1.7%
5 14185
 
1.2%
6 10404
 
0.9%
7 7442
 
0.6%
8 5627
 
0.5%
9 4034
 
0.3%
ValueCountFrequency (%)
79 1
 
< 0.1%
68 1
 
< 0.1%
56 1
 
< 0.1%
51 1
 
< 0.1%
48 3
< 0.1%
45 3
< 0.1%
44 2
 
< 0.1%
43 2
 
< 0.1%
42 6
< 0.1%
41 3
< 0.1%

кол-во_заявок_на_кредит_за_год
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct42
Distinct (%)< 0.1%
Missing726902
Missing (%)60.0%
Infinite0
Infinite (%)0.0%
Mean2.3114366
Minimum0
Maximum67
Zeros116618
Zeros (%)9.6%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:07.621197image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile7
Maximum67
Range67
Interquartile range (IQR)2

Descriptive statistics

Standard deviation2.5399243
Coefficient of variation (CV)1.098851
Kurtosis10.608822
Mean2.3114366
Median Absolute Deviation (MAD)1
Skewness2.3101248
Sum1118451
Variance6.4512157
MonotonicityNot monotonic
2025-07-31T05:15:07.760774image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 116618
 
9.6%
1 112909
 
9.3%
2 85574
 
7.1%
3 58840
 
4.9%
4 38733
 
3.2%
5 24449
 
2.0%
6 15854
 
1.3%
7 10203
 
0.8%
8 6718
 
0.6%
9 4411
 
0.4%
Other values (32) 9568
 
0.8%
(Missing) 726902
60.0%
ValueCountFrequency (%)
0 116618
9.6%
1 112909
9.3%
2 85574
7.1%
3 58840
4.9%
4 38733
 
3.2%
5 24449
 
2.0%
6 15854
 
1.3%
7 10203
 
0.8%
8 6718
 
0.6%
9 4411
 
0.4%
ValueCountFrequency (%)
67 1
 
< 0.1%
45 1
 
< 0.1%
41 1
 
< 0.1%
40 3
< 0.1%
37 1
 
< 0.1%
36 2
 
< 0.1%
35 2
 
< 0.1%
34 4
< 0.1%
33 4
< 0.1%
32 6
< 0.1%

кол-во_открытых_счетов_за_2_года
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct54
Distinct (%)< 0.1%
Missing42482
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean4.6942918
Minimum0
Maximum64
Zeros46168
Zeros (%)3.8%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:07.891049image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median4
Q36
95-th percentile11
Maximum64
Range64
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.1888711
Coefficient of variation (CV)0.67930824
Kurtosis4.3955344
Mean4.6942918
Median Absolute Deviation (MAD)2
Skewness1.3763921
Sum5484327
Variance10.168899
MonotonicityNot monotonic
2025-07-31T05:15:08.038865image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 171617
14.2%
4 163859
13.5%
2 151785
12.5%
5 141699
11.7%
6 112694
9.3%
1 106061
8.8%
7 84577
7.0%
8 60354
 
5.0%
0 46168
 
3.8%
9 41867
 
3.5%
Other values (44) 87616
7.2%
(Missing) 42482
 
3.5%
ValueCountFrequency (%)
0 46168
 
3.8%
1 106061
8.8%
2 151785
12.5%
3 171617
14.2%
4 163859
13.5%
5 141699
11.7%
6 112694
9.3%
7 84577
7.0%
8 60354
 
5.0%
9 41867
 
3.5%
ValueCountFrequency (%)
64 1
 
< 0.1%
56 1
 
< 0.1%
54 1
 
< 0.1%
53 1
 
< 0.1%
50 2
< 0.1%
49 2
< 0.1%
48 1
 
< 0.1%
47 2
< 0.1%
46 4
< 0.1%
45 3
< 0.1%

средний_баланс_текущих_счетов
Real number (ℝ)

High correlation  Missing 

Distinct74928
Distinct (%)6.5%
Missing60788
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean674552.48
Minimum0
Maximum47904200
Zeros330
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:08.193090image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile54950
Q1155000
median370300
Q3936350
95-th percentile2152150
Maximum47904200
Range47904200
Interquartile range (IQR)781350

Descriptive statistics

Standard deviation814750.64
Coefficient of variation (CV)1.2078388
Kurtosis47.983157
Mean674552.48
Median Absolute Deviation (MAD)270550
Skewness3.9315817
Sum7.7572928 × 1011
Variance6.6381861 × 1011
MonotonicityNot monotonic
2025-07-31T05:15:08.325310image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 330
 
< 0.1%
98550 157
 
< 0.1%
107100 152
 
< 0.1%
130300 149
 
< 0.1%
141550 148
 
< 0.1%
129350 148
 
< 0.1%
128600 148
 
< 0.1%
115750 147
 
< 0.1%
112850 146
 
< 0.1%
133200 146
 
< 0.1%
Other values (74918) 1148320
94.8%
(Missing) 60788
 
5.0%
ValueCountFrequency (%)
0 330
< 0.1%
50 31
 
< 0.1%
100 29
 
< 0.1%
150 32
 
< 0.1%
200 16
 
< 0.1%
250 26
 
< 0.1%
300 17
 
< 0.1%
350 20
 
< 0.1%
400 9
 
< 0.1%
450 19
 
< 0.1%
ValueCountFrequency (%)
47904200 1
< 0.1%
40000400 1
< 0.1%
32316950 1
< 0.1%
25100100 1
< 0.1%
24874200 1
< 0.1%
23862750 1
< 0.1%
23342000 1
< 0.1%
23197250 1
< 0.1%
23184900 1
< 0.1%
22371650 1
< 0.1%

суммарная_доступная_сумма_займа_по_картам
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct72744
Distinct (%)6.3%
Missing54971
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean509743.4
Minimum0
Maximum27995600
Zeros19471
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:08.458696image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6650
Q173300
median235250
Q3619650
95-th percentile1951850
Maximum27995600
Range27995600
Interquartile range (IQR)546350

Descriptive statistics

Standard deviation768419.74
Coefficient of variation (CV)1.5074638
Kurtosis26.676206
Mean509743.4
Median Absolute Deviation (MAD)198300
Skewness3.8384935
Sum5.891655 × 1011
Variance5.904689 × 1011
MonotonicityNot monotonic
2025-07-31T05:15:08.590271image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19471
 
1.6%
25000 1067
 
0.1%
100000 1066
 
0.1%
50000 974
 
0.1%
150000 876
 
0.1%
125000 796
 
0.1%
75000 757
 
0.1%
250000 724
 
0.1%
175000 644
 
0.1%
200000 625
 
0.1%
Other values (72734) 1128808
93.2%
(Missing) 54971
 
4.5%
ValueCountFrequency (%)
0 19471
1.6%
50 232
 
< 0.1%
100 199
 
< 0.1%
150 230
 
< 0.1%
200 224
 
< 0.1%
250 227
 
< 0.1%
300 218
 
< 0.1%
350 244
 
< 0.1%
400 242
 
< 0.1%
450 251
 
< 0.1%
ValueCountFrequency (%)
27995600 1
< 0.1%
24872250 1
< 0.1%
22742150 1
< 0.1%
18306350 1
< 0.1%
16608900 1
< 0.1%
16597850 1
< 0.1%
16375600 1
< 0.1%
16318650 1
< 0.1%
16087750 1
< 0.1%
16027900 1
< 0.1%

соотношение_баланса_к_лимиту_по_картам
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct1426
Distinct (%)0.1%
Missing55663
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean59.927292
Minimum0
Maximum339.6
Zeros13711
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:08.705142image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8.7
Q138.3
median63.2
Q384.8
95-th percentile98
Maximum339.6
Range339.6
Interquartile range (IQR)46.5

Descriptive statistics

Standard deviation28.296688
Coefficient of variation (CV)0.47218366
Kurtosis-0.90466775
Mean59.927292
Median Absolute Deviation (MAD)23
Skewness-0.36050733
Sum69222974
Variance800.70258
MonotonicityNot monotonic
2025-07-31T05:15:08.846461image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 13711
 
1.1%
98 3292
 
0.3%
97 3085
 
0.3%
99 3062
 
0.3%
96 3046
 
0.3%
95 2850
 
0.2%
94 2650
 
0.2%
93 2576
 
0.2%
92 2440
 
0.2%
91 2388
 
0.2%
Other values (1416) 1116016
92.2%
(Missing) 55663
 
4.6%
ValueCountFrequency (%)
0 13711
1.1%
0.1 1117
 
0.1%
0.2 967
 
0.1%
0.3 840
 
0.1%
0.4 708
 
0.1%
0.5 670
 
0.1%
0.6 603
 
< 0.1%
0.7 607
 
0.1%
0.8 591
 
< 0.1%
0.9 564
 
< 0.1%
ValueCountFrequency (%)
339.6 1
< 0.1%
318.2 1
< 0.1%
252.3 1
< 0.1%
243.8 1
< 0.1%
235.3 1
< 0.1%
204.6 1
< 0.1%
202.9 1
< 0.1%
202 1
< 0.1%
197 1
< 0.1%
194.9 1
< 0.1%
Distinct11
Distinct (%)< 0.1%
Missing47
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.0090474192
Minimum0
Maximum10
Zeros1200999
Zeros (%)99.2%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:08.973503image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum10
Range10
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.10963541
Coefficient of variation (CV)12.117866
Kurtosis583.19103
Mean0.0090474192
Median Absolute Deviation (MAD)0
Skewness17.978017
Sum10954
Variance0.012019924
MonotonicityNot monotonic
2025-07-31T05:15:09.076160image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 1200999
99.2%
1 8859
 
0.7%
2 672
 
0.1%
3 124
 
< 0.1%
4 45
 
< 0.1%
5 18
 
< 0.1%
6 6
 
< 0.1%
7 4
 
< 0.1%
9 3
 
< 0.1%
10 1
 
< 0.1%
(Missing) 47
 
< 0.1%
ValueCountFrequency (%)
0 1200999
99.2%
1 8859
 
0.7%
2 672
 
0.1%
3 124
 
< 0.1%
4 45
 
< 0.1%
5 18
 
< 0.1%
6 6
 
< 0.1%
7 4
 
< 0.1%
8 1
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
10 1
 
< 0.1%
9 3
 
< 0.1%
8 1
 
< 0.1%
7 4
 
< 0.1%
6 6
 
< 0.1%
5 18
 
< 0.1%
4 45
 
< 0.1%
3 124
 
< 0.1%
2 672
 
0.1%
1 8859
0.7%

сумма_задолженности
Real number (ℝ)

High correlation  Skewed  Zeros 

Distinct1884
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean761.24053
Minimum0
Maximum12496250
Zeros1206216
Zeros (%)99.6%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:09.191626image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum12496250
Range12496250
Interquartile range (IQR)0

Descriptive statistics

Standard deviation41199.537
Coefficient of variation (CV)54.121576
Kurtosis14195.597
Mean761.24053
Median Absolute Deviation (MAD)0
Skewness94.907298
Sum9.2169405 × 108
Variance1.6974018 × 109
MonotonicityNot monotonic
2025-07-31T05:15:09.340267image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1206216
99.6%
3250000 74
 
< 0.1%
1250 69
 
< 0.1%
1500 59
 
< 0.1%
2700 52
 
< 0.1%
2650 52
 
< 0.1%
3750 51
 
< 0.1%
2800 44
 
< 0.1%
2500 41
 
< 0.1%
2600 35
 
< 0.1%
Other values (1874) 4086
 
0.3%
ValueCountFrequency (%)
0 1206216
99.6%
50 5
 
< 0.1%
100 7
 
< 0.1%
150 6
 
< 0.1%
200 9
 
< 0.1%
250 10
 
< 0.1%
300 9
 
< 0.1%
350 7
 
< 0.1%
400 8
 
< 0.1%
450 9
 
< 0.1%
ValueCountFrequency (%)
12496250 1
< 0.1%
9270400 1
< 0.1%
6538900 1
< 0.1%
5531300 1
< 0.1%
4880950 1
< 0.1%
4726050 1
< 0.1%
4602550 1
< 0.1%
4410800 1
< 0.1%
4319950 1
< 0.1%
3846450 1
< 0.1%
Distinct516
Distinct (%)< 0.1%
Missing95020
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean125.7768
Minimum0
Maximum999
Zeros9
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:09.492714image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile32
Q198
median129
Q3152
95-th percentile212
Maximum999
Range999
Interquartile range (IQR)54

Descriptive statistics

Standard deviation52.217881
Coefficient of variation (CV)0.41516305
Kurtosis1.8608338
Mean125.7768
Median Absolute Deviation (MAD)26
Skewness0.34104113
Sum1.403366 × 108
Variance2726.7071
MonotonicityNot monotonic
2025-07-31T05:15:09.625956image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126 13725
 
1.1%
125 13712
 
1.1%
127 13679
 
1.1%
128 13648
 
1.1%
122 13632
 
1.1%
124 13615
 
1.1%
130 13546
 
1.1%
123 13513
 
1.1%
132 13395
 
1.1%
129 13389
 
1.1%
Other values (506) 979905
80.9%
(Missing) 95020
 
7.8%
ValueCountFrequency (%)
0 9
 
< 0.1%
1 291
 
< 0.1%
2 582
 
< 0.1%
3 797
0.1%
4 901
0.1%
5 913
0.1%
6 1056
0.1%
7 1357
0.1%
8 1524
0.1%
9 1488
0.1%
ValueCountFrequency (%)
999 1
< 0.1%
724 1
< 0.1%
720 1
< 0.1%
687 1
< 0.1%
665 1
< 0.1%
651 1
< 0.1%
649 1
< 0.1%
647 1
< 0.1%
640 1
< 0.1%
609 1
< 0.1%
Distinct752
Distinct (%)0.1%
Missing60768
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean181.49398
Minimum2
Maximum852
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:09.757035image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile53
Q1117
median164
Q3230
95-th percentile363
Maximum852
Range850
Interquartile range (IQR)113

Descriptive statistics

Standard deviation94.501936
Coefficient of variation (CV)0.52068908
Kurtosis1.4745769
Mean181.49398
Median Absolute Deviation (MAD)54
Skewness1.0352745
Sum2.0872008 × 108
Variance8930.6158
MonotonicityNot monotonic
2025-07-31T05:15:09.873755image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
132 6597
 
0.5%
125 6504
 
0.5%
131 6448
 
0.5%
136 6448
 
0.5%
130 6436
 
0.5%
127 6424
 
0.5%
129 6422
 
0.5%
133 6417
 
0.5%
128 6402
 
0.5%
124 6385
 
0.5%
Other values (742) 1085528
89.7%
(Missing) 60768
 
5.0%
ValueCountFrequency (%)
2 3
 
< 0.1%
3 6
 
< 0.1%
4 7
 
< 0.1%
5 15
 
< 0.1%
6 16
 
< 0.1%
7 19
 
< 0.1%
8 21
< 0.1%
9 37
< 0.1%
10 48
< 0.1%
11 50
< 0.1%
ValueCountFrequency (%)
852 1
< 0.1%
851 1
< 0.1%
842 1
< 0.1%
818 1
< 0.1%
817 1
< 0.1%
806 1
< 0.1%
804 1
< 0.1%
803 1
< 0.1%
793 1
< 0.1%
789 1
< 0.1%
Distinct280
Distinct (%)< 0.1%
Missing60768
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean13.115211
Minimum0
Maximum438
Zeros18257
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:09.989283image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median8
Q316
95-th percentile43
Maximum438
Range438
Interquartile range (IQR)12

Descriptive statistics

Standard deviation16.340215
Coefficient of variation (CV)1.245898
Kurtosis20.187273
Mean13.115211
Median Absolute Deviation (MAD)5
Skewness3.5026566
Sum15082637
Variance267.00263
MonotonicityNot monotonic
2025-07-31T05:15:10.105912image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 93442
 
7.7%
3 89311
 
7.4%
4 80703
 
6.7%
1 76732
 
6.3%
5 72015
 
5.9%
6 63987
 
5.3%
7 58812
 
4.9%
8 52090
 
4.3%
9 46404
 
3.8%
10 41867
 
3.5%
Other values (270) 474648
39.2%
(Missing) 60768
 
5.0%
ValueCountFrequency (%)
0 18257
 
1.5%
1 76732
6.3%
2 93442
7.7%
3 89311
7.4%
4 80703
6.7%
5 72015
5.9%
6 63987
5.3%
7 58812
4.9%
8 52090
4.3%
9 46404
3.8%
ValueCountFrequency (%)
438 1
 
< 0.1%
396 1
 
< 0.1%
343 1
 
< 0.1%
334 1
 
< 0.1%
330 1
 
< 0.1%
327 1
 
< 0.1%
324 1
 
< 0.1%
315 3
< 0.1%
314 1
 
< 0.1%
306 1
 
< 0.1%

кол-во_месяцев_с_последнего_счета
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct194
Distinct (%)< 0.1%
Missing60767
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean7.8552033
Minimum0
Maximum314
Zeros18885
Zeros (%)1.6%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:10.373485image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median5
Q310
95-th percentile22
Maximum314
Range314
Interquartile range (IQR)7

Descriptive statistics

Standard deviation8.7331218
Coefficient of variation (CV)1.1117627
Kurtosis39.417299
Mean7.8552033
Median Absolute Deviation (MAD)3
Skewness4.4402709
Sum9033578
Variance76.267417
MonotonicityNot monotonic
2025-07-31T05:15:10.492506image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 129852
10.7%
3 125143
10.3%
4 110346
 
9.1%
1 100344
 
8.3%
5 94507
 
7.8%
6 81877
 
6.8%
7 72818
 
6.0%
8 61118
 
5.0%
9 50863
 
4.2%
10 42686
 
3.5%
Other values (184) 280458
23.2%
(Missing) 60767
 
5.0%
ValueCountFrequency (%)
0 18885
 
1.6%
1 100344
8.3%
2 129852
10.7%
3 125143
10.3%
4 110346
9.1%
5 94507
7.8%
6 81877
6.8%
7 72818
6.0%
8 61118
5.0%
9 50863
 
4.2%
ValueCountFrequency (%)
314 1
< 0.1%
289 1
< 0.1%
283 1
< 0.1%
263 1
< 0.1%
260 1
< 0.1%
250 1
< 0.1%
233 2
< 0.1%
226 1
< 0.1%
211 2
< 0.1%
210 1
< 0.1%

кол-во_ипотек
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct38
Distinct (%)< 0.1%
Missing42482
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean1.6709296
Minimum0
Maximum51
Zeros471461
Zeros (%)38.9%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:10.624655image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile6
Maximum51
Range51
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.0003154
Coefficient of variation (CV)1.1971273
Kurtosis5.0061925
Mean1.6709296
Median Absolute Deviation (MAD)1
Skewness1.6285981
Sum1952142
Variance4.0012618
MonotonicityNot monotonic
2025-07-31T05:15:10.756257image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 471461
38.9%
1 203641
16.8%
2 169927
 
14.0%
3 125420
 
10.4%
4 85402
 
7.1%
5 51980
 
4.3%
6 29301
 
2.4%
7 15096
 
1.2%
8 7545
 
0.6%
9 3899
 
0.3%
Other values (28) 4625
 
0.4%
(Missing) 42482
 
3.5%
ValueCountFrequency (%)
0 471461
38.9%
1 203641
16.8%
2 169927
 
14.0%
3 125420
 
10.4%
4 85402
 
7.1%
5 51980
 
4.3%
6 29301
 
2.4%
7 15096
 
1.2%
8 7545
 
0.6%
9 3899
 
0.3%
ValueCountFrequency (%)
51 1
 
< 0.1%
37 2
< 0.1%
36 1
 
< 0.1%
35 1
 
< 0.1%
34 3
< 0.1%
32 1
 
< 0.1%
31 2
< 0.1%
30 2
< 0.1%
29 3
< 0.1%
28 3
< 0.1%

кол-во_месяцев_с_последней_карты
Real number (ℝ)

High correlation  Missing 

Distinct485
Distinct (%)< 0.1%
Missing54130
Missing (%)4.5%
Infinite0
Infinite (%)0.0%
Mean23.825563
Minimum0
Maximum639
Zeros7356
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:10.887794image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16
median13
Q328
95-th percentile86
Maximum639
Range639
Interquartile range (IQR)22

Descriptive statistics

Standard deviation30.755536
Coefficient of variation (CV)1.2908629
Kurtosis20.628779
Mean23.825563
Median Absolute Deviation (MAD)9
Skewness3.4583074
Sum27557814
Variance945.90298
MonotonicityNot monotonic
2025-07-31T05:15:11.004841image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 58138
 
4.8%
2 57036
 
4.7%
4 55283
 
4.6%
5 51627
 
4.3%
6 48172
 
4.0%
7 45823
 
3.8%
8 42831
 
3.5%
9 39870
 
3.3%
1 38545
 
3.2%
10 37248
 
3.1%
Other values (475) 682076
56.3%
(Missing) 54130
 
4.5%
ValueCountFrequency (%)
0 7356
 
0.6%
1 38545
3.2%
2 57036
4.7%
3 58138
4.8%
4 55283
4.6%
5 51627
4.3%
6 48172
4.0%
7 45823
3.8%
8 42831
3.5%
9 39870
3.3%
ValueCountFrequency (%)
639 1
< 0.1%
616 1
< 0.1%
610 1
< 0.1%
604 1
< 0.1%
591 1
< 0.1%
577 1
< 0.1%
570 1
< 0.1%
562 1
< 0.1%
555 1
< 0.1%
554 1
< 0.1%
Distinct165
Distinct (%)0.1%
Missing923517
Missing (%)76.3%
Infinite0
Infinite (%)0.0%
Mean39.641564
Minimum0
Maximum202
Zeros510
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:11.158845image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q121
median38
Q358
95-th percentile77
Maximum202
Range202
Interquartile range (IQR)37

Descriptive statistics

Standard deviation22.685266
Coefficient of variation (CV)0.57225961
Kurtosis-0.83778337
Mean39.641564
Median Absolute Deviation (MAD)19
Skewness0.24887968
Sum11387515
Variance514.62129
MonotonicityNot monotonic
2025-07-31T05:15:11.305640image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 4336
 
0.4%
13 4288
 
0.4%
25 4275
 
0.4%
28 4269
 
0.4%
29 4266
 
0.4%
19 4257
 
0.4%
45 4257
 
0.4%
31 4239
 
0.4%
35 4197
 
0.3%
38 4195
 
0.3%
Other values (155) 244683
 
20.2%
(Missing) 923517
76.3%
ValueCountFrequency (%)
0 510
 
< 0.1%
1 1635
0.1%
2 1726
0.1%
3 2263
0.2%
4 2679
0.2%
5 3028
0.3%
6 3507
0.3%
7 3498
0.3%
8 3550
0.3%
9 3824
0.3%
ValueCountFrequency (%)
202 1
< 0.1%
189 1
< 0.1%
188 1
< 0.1%
176 1
< 0.1%
171 1
< 0.1%
170 2
< 0.1%
162 1
< 0.1%
160 1
< 0.1%
159 1
< 0.1%
158 2
< 0.1%

кол-во_мес_с_последней_заявки
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct26
Distinct (%)< 0.1%
Missing156537
Missing (%)12.9%
Infinite0
Infinite (%)0.0%
Mean6.7123289
Minimum0
Maximum25
Zeros97016
Zeros (%)8.0%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:11.456283image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q310
95-th percentile19
Maximum25
Range25
Interquartile range (IQR)8

Descriptive statistics

Standard deviation5.8508907
Coefficient of variation (CV)0.87166329
Kurtosis0.15138484
Mean6.7123289
Median Absolute Deviation (MAD)4
Skewness0.96301855
Sum7076419
Variance34.232922
MonotonicityNot monotonic
2025-07-31T05:15:11.571203image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 121889
10.1%
0 97016
 
8.0%
2 96905
 
8.0%
3 87463
 
7.2%
4 78545
 
6.5%
5 69370
 
5.7%
6 61898
 
5.1%
7 58694
 
4.8%
8 51418
 
4.2%
9 44625
 
3.7%
Other values (16) 286419
23.7%
(Missing) 156537
12.9%
ValueCountFrequency (%)
0 97016
8.0%
1 121889
10.1%
2 96905
8.0%
3 87463
7.2%
4 78545
6.5%
5 69370
5.7%
6 61898
5.1%
7 58694
4.8%
8 51418
4.2%
9 44625
 
3.7%
ValueCountFrequency (%)
25 18
 
< 0.1%
24 4431
 
0.4%
23 9082
0.8%
22 9680
0.8%
21 10771
0.9%
20 11793
1.0%
19 13176
1.1%
18 14752
1.2%
17 16499
1.4%
16 18482
1.5%
Distinct166
Distinct (%)< 0.1%
Missing805599
Missing (%)66.5%
Infinite0
Infinite (%)0.0%
Mean35.802231
Minimum0
Maximum202
Zeros858
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:11.701052image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q117
median33
Q352
95-th percentile76
Maximum202
Range202
Interquartile range (IQR)35

Descriptive statistics

Standard deviation22.417298
Coefficient of variation (CV)0.6261425
Kurtosis-0.67094345
Mean35.802231
Median Absolute Deviation (MAD)17
Skewness0.4450628
Sum14506348
Variance502.53527
MonotonicityNot monotonic
2025-07-31T05:15:11.839228image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 7396
 
0.6%
12 7258
 
0.6%
14 7160
 
0.6%
15 7106
 
0.6%
9 6971
 
0.6%
16 6814
 
0.6%
7 6793
 
0.6%
11 6779
 
0.6%
17 6760
 
0.6%
19 6747
 
0.6%
Other values (156) 335396
27.7%
(Missing) 805599
66.5%
ValueCountFrequency (%)
0 858
 
0.1%
1 3046
0.3%
2 3370
0.3%
3 4328
0.4%
4 5001
0.4%
5 5750
0.5%
6 6660
0.6%
7 6793
0.6%
8 6720
0.6%
9 6971
0.6%
ValueCountFrequency (%)
202 1
 
< 0.1%
197 1
 
< 0.1%
188 1
 
< 0.1%
180 1
 
< 0.1%
178 1
 
< 0.1%
176 1
 
< 0.1%
171 2
< 0.1%
170 2
< 0.1%
165 3
< 0.1%
162 1
 
< 0.1%

кол-во_счетов_с_просрочкой_4_мес
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct39
Distinct (%)< 0.1%
Missing60767
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean0.50998511
Minimum0
Maximum51
Zeros877352
Zeros (%)72.5%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:11.972160image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum51
Range51
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.3259048
Coefficient of variation (CV)2.5998892
Kurtosis44.497417
Mean0.50998511
Median Absolute Deviation (MAD)0
Skewness5.0420878
Sum586489
Variance1.7580235
MonotonicityNot monotonic
2025-07-31T05:15:12.124861image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 877352
72.5%
1 145652
 
12.0%
2 58486
 
4.8%
3 26831
 
2.2%
4 15744
 
1.3%
5 9310
 
0.8%
6 5897
 
0.5%
7 3728
 
0.3%
8 2267
 
0.2%
9 1514
 
0.1%
Other values (29) 3231
 
0.3%
(Missing) 60767
 
5.0%
ValueCountFrequency (%)
0 877352
72.5%
1 145652
 
12.0%
2 58486
 
4.8%
3 26831
 
2.2%
4 15744
 
1.3%
5 9310
 
0.8%
6 5897
 
0.5%
7 3728
 
0.3%
8 2267
 
0.2%
9 1514
 
0.1%
ValueCountFrequency (%)
51 1
 
< 0.1%
39 1
 
< 0.1%
38 1
 
< 0.1%
35 1
 
< 0.1%
34 3
< 0.1%
33 2
 
< 0.1%
32 2
 
< 0.1%
31 5
< 0.1%
30 4
< 0.1%
29 7
< 0.1%

кол-во_активных_карт
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct34
Distinct (%)< 0.1%
Missing60767
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean3.6444872
Minimum0
Maximum35
Zeros24634
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:12.251990image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q12
median3
Q35
95-th percentile8
Maximum35
Range35
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.2504637
Coefficient of variation (CV)0.61749805
Kurtosis4.0549995
Mean3.6444872
Median Absolute Deviation (MAD)1
Skewness1.406817
Sum4191204
Variance5.064587
MonotonicityNot monotonic
2025-07-31T05:15:12.374025image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
3 246449
20.4%
2 234626
19.4%
4 191055
15.8%
1 131641
10.9%
5 127655
10.5%
6 79378
 
6.6%
7 46721
 
3.9%
8 27539
 
2.3%
0 24634
 
2.0%
9 16308
 
1.3%
Other values (24) 24006
 
2.0%
(Missing) 60767
 
5.0%
ValueCountFrequency (%)
0 24634
 
2.0%
1 131641
10.9%
2 234626
19.4%
3 246449
20.4%
4 191055
15.8%
5 127655
10.5%
6 79378
 
6.6%
7 46721
 
3.9%
8 27539
 
2.3%
9 16308
 
1.3%
ValueCountFrequency (%)
35 1
 
< 0.1%
33 2
 
< 0.1%
32 3
 
< 0.1%
30 5
 
< 0.1%
29 2
 
< 0.1%
28 2
 
< 0.1%
27 3
 
< 0.1%
26 13
< 0.1%
25 12
< 0.1%
24 22
< 0.1%
Distinct52
Distinct (%)< 0.1%
Missing60767
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean5.6458524
Minimum0
Maximum63
Zeros4915
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:12.509752image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q37
95-th percentile12
Maximum63
Range63
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.3053399
Coefficient of variation (CV)0.58544568
Kurtosis4.7715154
Mean5.6458524
Median Absolute Deviation (MAD)2
Skewness1.5362396
Sum6492798
Variance10.925272
MonotonicityNot monotonic
2025-07-31T05:15:12.637571image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 177635
14.7%
5 162857
13.5%
3 161203
13.3%
6 133910
11.1%
2 106823
8.8%
7 103128
8.5%
8 76143
6.3%
9 54152
 
4.5%
1 40198
 
3.3%
10 38244
 
3.2%
Other values (42) 95719
7.9%
(Missing) 60767
 
5.0%
ValueCountFrequency (%)
0 4915
 
0.4%
1 40198
 
3.3%
2 106823
8.8%
3 161203
13.3%
4 177635
14.7%
5 162857
13.5%
6 133910
11.1%
7 103128
8.5%
8 76143
6.3%
9 54152
 
4.5%
ValueCountFrequency (%)
63 1
 
< 0.1%
60 1
 
< 0.1%
57 1
 
< 0.1%
52 1
 
< 0.1%
51 1
 
< 0.1%
47 1
 
< 0.1%
46 1
 
< 0.1%
44 3
< 0.1%
43 4
< 0.1%
42 6
< 0.1%

кол-во_карт_без_нарушений
Real number (ℝ)

High correlation  Missing 

Distinct52
Distinct (%)< 0.1%
Missing50207
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean4.7359966
Minimum0
Maximum63
Zeros11771
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:12.782751image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median4
Q36
95-th percentile10
Maximum63
Range63
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.9537454
Coefficient of variation (CV)0.62367981
Kurtosis6.5372539
Mean4.7359966
Median Absolute Deviation (MAD)2
Skewness1.7231371
Sum5496465
Variance8.724612
MonotonicityNot monotonic
2025-07-31T05:15:12.908424image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 203786
16.8%
4 193558
16.0%
2 159847
13.2%
5 155882
12.9%
6 115053
9.5%
7 79730
 
6.6%
1 75244
 
6.2%
8 54104
 
4.5%
9 36062
 
3.0%
10 24002
 
2.0%
Other values (42) 63304
 
5.2%
(Missing) 50207
 
4.1%
ValueCountFrequency (%)
0 11771
 
1.0%
1 75244
 
6.2%
2 159847
13.2%
3 203786
16.8%
4 193558
16.0%
5 155882
12.9%
6 115053
9.5%
7 79730
 
6.6%
8 54104
 
4.5%
9 36062
 
3.0%
ValueCountFrequency (%)
63 1
 
< 0.1%
57 1
 
< 0.1%
54 1
 
< 0.1%
49 1
 
< 0.1%
48 1
 
< 0.1%
46 3
< 0.1%
45 2
< 0.1%
44 1
 
< 0.1%
43 1
 
< 0.1%
42 3
< 0.1%

кол-во_карт
Real number (ℝ)

High correlation  Missing 

Distinct68
Distinct (%)< 0.1%
Missing60767
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean8.1029424
Minimum0
Maximum70
Zeros2619
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:13.072059image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median7
Q311
95-th percentile17
Maximum70
Range70
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.8022243
Coefficient of variation (CV)0.59265192
Kurtosis3.3540055
Mean8.1029424
Median Absolute Deviation (MAD)3
Skewness1.3438584
Sum9318481
Variance23.061359
MonotonicityNot monotonic
2025-07-31T05:15:13.236959image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 115370
9.5%
6 114825
9.5%
7 107369
8.9%
4 107365
8.9%
8 97354
 
8.0%
3 85849
 
7.1%
9 84448
 
7.0%
10 70983
 
5.9%
11 59115
 
4.9%
2 53953
 
4.5%
Other values (58) 253381
20.9%
(Missing) 60767
 
5.0%
ValueCountFrequency (%)
0 2619
 
0.2%
1 20908
 
1.7%
2 53953
4.5%
3 85849
7.1%
4 107365
8.9%
5 115370
9.5%
6 114825
9.5%
7 107369
8.9%
8 97354
8.0%
9 84448
7.0%
ValueCountFrequency (%)
70 2
< 0.1%
68 1
 
< 0.1%
66 2
< 0.1%
65 1
 
< 0.1%
64 1
 
< 0.1%
63 1
 
< 0.1%
61 2
< 0.1%
60 2
< 0.1%
59 1
 
< 0.1%
58 3
< 0.1%

кол-во_аннуитетных_счетов
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct112
Distinct (%)< 0.1%
Missing60767
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean8.5663958
Minimum0
Maximum159
Zeros34323
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:13.372705image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median7
Q311
95-th percentile23
Maximum159
Range159
Interquartile range (IQR)7

Descriptive statistics

Standard deviation7.386149
Coefficient of variation (CV)0.86222364
Kurtosis7.5728644
Mean8.5663958
Median Absolute Deviation (MAD)4
Skewness2.0567485
Sum9851458
Variance54.555198
MonotonicityNot monotonic
2025-07-31T05:15:13.558086image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 98169
 
8.1%
3 97306
 
8.0%
5 93952
 
7.8%
2 87775
 
7.2%
6 86779
 
7.2%
7 77821
 
6.4%
8 69099
 
5.7%
1 66628
 
5.5%
9 59487
 
4.9%
10 51876
 
4.3%
Other values (102) 361120
29.8%
(Missing) 60767
 
5.0%
ValueCountFrequency (%)
0 34323
 
2.8%
1 66628
5.5%
2 87775
7.2%
3 97306
8.0%
4 98169
8.1%
5 93952
7.8%
6 86779
7.2%
7 77821
6.4%
8 69099
5.7%
9 59487
4.9%
ValueCountFrequency (%)
159 1
< 0.1%
150 1
< 0.1%
138 1
< 0.1%
132 1
< 0.1%
128 1
< 0.1%
121 1
< 0.1%
118 1
< 0.1%
117 1
< 0.1%
113 1
< 0.1%
110 1
< 0.1%
Distinct74
Distinct (%)< 0.1%
Missing60767
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean8.282877
Minimum0
Maximum83
Zeros439
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:13.691771image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q15
median7
Q310
95-th percentile17
Maximum83
Range83
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.5624135
Coefficient of variation (CV)0.55082473
Kurtosis4.3635255
Mean8.282877
Median Absolute Deviation (MAD)3
Skewness1.4703577
Sum9525408
Variance20.815617
MonotonicityNot monotonic
2025-07-31T05:15:13.837953image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 125933
10.4%
5 121481
10.0%
7 119975
9.9%
8 107520
8.9%
4 103855
8.6%
9 91873
7.6%
10 76564
 
6.3%
3 71980
 
5.9%
11 61910
 
5.1%
12 49468
 
4.1%
Other values (64) 219453
18.1%
(Missing) 60767
 
5.0%
ValueCountFrequency (%)
0 439
 
< 0.1%
1 8025
 
0.7%
2 35782
 
3.0%
3 71980
5.9%
4 103855
8.6%
5 121481
10.0%
6 125933
10.4%
7 119975
9.9%
8 107520
8.9%
9 91873
7.6%
ValueCountFrequency (%)
83 1
< 0.1%
79 1
< 0.1%
77 1
< 0.1%
73 1
< 0.1%
72 1
< 0.1%
71 1
< 0.1%
67 2
< 0.1%
66 1
< 0.1%
65 1
< 0.1%
64 1
< 0.1%

кол-во_возобновляемых_счетов
Real number (ℝ)

High correlation  Missing 

Distinct106
Distinct (%)< 0.1%
Missing60768
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean14.615024
Minimum0
Maximum128
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:13.969572image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q19
median13
Q319
95-th percentile30
Maximum128
Range128
Interquartile range (IQR)10

Descriptive statistics

Standard deviation8.122803
Coefficient of variation (CV)0.55578446
Kurtosis3.0350983
Mean14.615024
Median Absolute Deviation (MAD)5
Skewness1.3002009
Sum16807438
Variance65.979929
MonotonicityNot monotonic
2025-07-31T05:15:14.102731image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 67873
 
5.6%
11 67254
 
5.6%
9 66480
 
5.5%
12 65369
 
5.4%
8 63456
 
5.2%
13 62534
 
5.2%
7 59279
 
4.9%
14 58188
 
4.8%
15 54601
 
4.5%
6 51445
 
4.2%
Other values (96) 533532
44.1%
(Missing) 60768
 
5.0%
ValueCountFrequency (%)
0 1
 
< 0.1%
1 17
 
< 0.1%
2 7866
 
0.6%
3 18279
 
1.5%
4 30489
2.5%
5 41269
3.4%
6 51445
4.2%
7 59279
4.9%
8 63456
5.2%
9 66480
5.5%
ValueCountFrequency (%)
128 1
< 0.1%
127 1
< 0.1%
113 1
< 0.1%
112 1
< 0.1%
107 1
< 0.1%
105 1
< 0.1%
104 2
< 0.1%
103 2
< 0.1%
102 1
< 0.1%
101 2
< 0.1%
Distinct46
Distinct (%)< 0.1%
Missing60767
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean5.5951825
Minimum0
Maximum45
Zeros4834
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:14.435469image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q13
median5
Q37
95-th percentile12
Maximum45
Range45
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.218659
Coefficient of variation (CV)0.5752554
Kurtosis3.9266999
Mean5.5951825
Median Absolute Deviation (MAD)2
Skewness1.4318622
Sum6434527
Variance10.359765
MonotonicityNot monotonic
2025-07-31T05:15:14.558327image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
4 178892
14.8%
5 164270
13.6%
3 162203
13.4%
6 134840
11.1%
2 107310
8.9%
7 103560
8.6%
8 76108
6.3%
9 53925
 
4.5%
1 40118
 
3.3%
10 37860
 
3.1%
Other values (36) 90926
7.5%
(Missing) 60767
 
5.0%
ValueCountFrequency (%)
0 4834
 
0.4%
1 40118
 
3.3%
2 107310
8.9%
3 162203
13.4%
4 178892
14.8%
5 164270
13.6%
6 134840
11.1%
7 103560
8.6%
8 76108
6.3%
9 53925
 
4.5%
ValueCountFrequency (%)
45 1
 
< 0.1%
44 1
 
< 0.1%
43 4
< 0.1%
42 3
< 0.1%
41 1
 
< 0.1%
40 1
 
< 0.1%
39 5
< 0.1%
38 5
< 0.1%
37 6
< 0.1%
36 7
< 0.1%

кол-во_счетов_без_нарушений
Real number (ℝ)

High correlation  Missing 

Distinct82
Distinct (%)< 0.1%
Missing50207
Missing (%)4.1%
Infinite0
Infinite (%)0.0%
Mean11.642699
Minimum0
Maximum90
Zeros15
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:14.673237image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median11
Q314
95-th percentile22
Maximum90
Range90
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.4851892
Coefficient of variation (CV)0.47112696
Kurtosis3.3149997
Mean11.642699
Median Absolute Deviation (MAD)3
Skewness1.295737
Sum13512190
Variance30.0873
MonotonicityNot monotonic
2025-07-31T05:15:14.805476image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 103139
 
8.5%
10 100505
 
8.3%
8 98684
 
8.2%
11 92751
 
7.7%
7 88389
 
7.3%
12 83299
 
6.9%
6 72983
 
6.0%
13 72538
 
6.0%
14 61934
 
5.1%
5 52550
 
4.3%
Other values (72) 333800
27.6%
ValueCountFrequency (%)
0 15
 
< 0.1%
1 463
 
< 0.1%
2 3826
 
0.3%
3 13441
 
1.1%
4 31472
 
2.6%
5 52550
4.3%
6 72983
6.0%
7 88389
7.3%
8 98684
8.2%
9 103139
8.5%
ValueCountFrequency (%)
90 1
 
< 0.1%
87 1
 
< 0.1%
84 1
 
< 0.1%
82 1
 
< 0.1%
81 1
 
< 0.1%
80 1
 
< 0.1%
77 1
 
< 0.1%
76 3
< 0.1%
75 2
< 0.1%
74 2
< 0.1%
Distinct6
Distinct (%)< 0.1%
Missing105517
Missing (%)8.7%
Infinite0
Infinite (%)0.0%
Mean0.00082785801
Minimum0
Maximum6
Zeros1104393
Zeros (%)91.2%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:14.906777image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.030678553
Coefficient of variation (CV)37.057748
Kurtosis3249.3236
Mean0.00082785801
Median Absolute Deviation (MAD)0
Skewness45.699631
Sum915
Variance0.00094117363
MonotonicityNot monotonic
2025-07-31T05:15:14.990839image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 1104393
91.2%
1 833
 
0.1%
2 30
 
< 0.1%
3 4
 
< 0.1%
6 1
 
< 0.1%
4 1
 
< 0.1%
(Missing) 105517
 
8.7%
ValueCountFrequency (%)
0 1104393
91.2%
1 833
 
0.1%
2 30
 
< 0.1%
3 4
 
< 0.1%
4 1
 
< 0.1%
6 1
 
< 0.1%
ValueCountFrequency (%)
6 1
 
< 0.1%
4 1
 
< 0.1%
3 4
 
< 0.1%
2 30
 
< 0.1%
1 833
 
0.1%
0 1104393
91.2%

кол-во_счетов_с_акт_просрочкой_1_мес
Categorical

High correlation  Imbalance  Missing 

Distinct5
Distinct (%)< 0.1%
Missing60767
Missing (%)5.0%
Memory size60.3 MiB
0.0
1146258 
1.0
 
3544
2.0
 
177
3.0
 
26
4.0
 
7

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3450036
Distinct characters6
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0 1146258
94.7%
1.0 3544
 
0.3%
2.0 177
 
< 0.1%
3.0 26
 
< 0.1%
4.0 7
 
< 0.1%
(Missing) 60767
 
5.0%

Length

2025-07-31T05:15:15.138839image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2025-07-31T05:15:15.238891image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0 1146258
99.7%
1.0 3544
 
0.3%
2.0 177
 
< 0.1%
3.0 26
 
< 0.1%
4.0 7
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
0 2296270
66.6%
. 1150012
33.3%
1 3544
 
0.1%
2 177
 
< 0.1%
3 26
 
< 0.1%
4 7
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
(unknown) 3450036
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
0 2296270
66.6%
. 1150012
33.3%
1 3544
 
0.1%
2 177
 
< 0.1%
3 26
 
< 0.1%
4 7
 
< 0.1%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 3450036
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
0 2296270
66.6%
. 1150012
33.3%
1 3544
 
0.1%
2 177
 
< 0.1%
3 26
 
< 0.1%
4 7
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 3450036
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
0 2296270
66.6%
. 1150012
33.3%
1 3544
 
0.1%
2 177
 
< 0.1%
3 26
 
< 0.1%
4 7
 
< 0.1%

кол-во_счетов_с_акт_просрочкой_3_мес_за_2_года
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct28
Distinct (%)< 0.1%
Missing60767
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean0.088843421
Minimum0
Maximum39
Zeros1084083
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:15.339773image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum39
Range39
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.50352409
Coefficient of variation (CV)5.6675451
Kurtosis314.33805
Mean0.088843421
Median Absolute Deviation (MAD)0
Skewness13.214889
Sum102171
Variance0.25353651
MonotonicityNot monotonic
2025-07-31T05:15:15.472125image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 1084083
89.5%
1 49338
 
4.1%
2 9758
 
0.8%
3 2726
 
0.2%
4 1497
 
0.1%
5 798
 
0.1%
6 602
 
< 0.1%
7 342
 
< 0.1%
8 244
 
< 0.1%
9 181
 
< 0.1%
Other values (18) 443
 
< 0.1%
(Missing) 60767
 
5.0%
ValueCountFrequency (%)
0 1084083
89.5%
1 49338
 
4.1%
2 9758
 
0.8%
3 2726
 
0.2%
4 1497
 
0.1%
5 798
 
0.1%
6 602
 
< 0.1%
7 342
 
< 0.1%
8 244
 
< 0.1%
9 181
 
< 0.1%
ValueCountFrequency (%)
39 1
 
< 0.1%
30 1
 
< 0.1%
29 1
 
< 0.1%
26 3
 
< 0.1%
25 1
 
< 0.1%
22 4
 
< 0.1%
21 1
 
< 0.1%
20 8
< 0.1%
19 5
 
< 0.1%
18 13
< 0.1%

кол-во_счетов_за_посл_год
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct32
Distinct (%)< 0.1%
Missing60767
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean2.1791338
Minimum0
Maximum32
Zeros193513
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:15.587510image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q33
95-th percentile6
Maximum32
Range32
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.8461574
Coefficient of variation (CV)0.84719784
Kurtosis4.9997542
Mean2.1791338
Median Absolute Deviation (MAD)1
Skewness1.502767
Sum2506030
Variance3.4082973
MonotonicityNot monotonic
2025-07-31T05:15:15.688714image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 283910
23.4%
2 260437
21.5%
0 193513
16.0%
3 188609
15.6%
4 111506
 
9.2%
5 54506
 
4.5%
6 26340
 
2.2%
7 14306
 
1.2%
8 7420
 
0.6%
9 4077
 
0.3%
Other values (22) 5388
 
0.4%
(Missing) 60767
 
5.0%
ValueCountFrequency (%)
0 193513
16.0%
1 283910
23.4%
2 260437
21.5%
3 188609
15.6%
4 111506
 
9.2%
5 54506
 
4.5%
6 26340
 
2.2%
7 14306
 
1.2%
8 7420
 
0.6%
9 4077
 
0.3%
ValueCountFrequency (%)
32 1
 
< 0.1%
30 1
 
< 0.1%
29 1
 
< 0.1%
28 4
 
< 0.1%
27 1
 
< 0.1%
26 3
 
< 0.1%
25 6
< 0.1%
24 6
< 0.1%
23 12
< 0.1%
22 7
< 0.1%

процент_счетов_без_просрочек
Real number (ℝ)

High correlation  Missing 

Distinct624
Distinct (%)0.1%
Missing60902
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean94.162311
Minimum0
Maximum100
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:15.835083image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile76
Q191.3
median98
Q3100
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)8.7

Descriptive statistics

Standard deviation8.745308
Coefficient of variation (CV)0.092874823
Kurtosis6.5087445
Mean94.162311
Median Absolute Deviation (MAD)2
Skewness-2.2126711
Sum1.0827508 × 108
Variance76.480413
MonotonicityNot monotonic
2025-07-31T05:15:15.974002image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100 566405
46.8%
95 16758
 
1.4%
90 16261
 
1.3%
96 15255
 
1.3%
91.7 11511
 
1.0%
92.3 11459
 
0.9%
90.9 11456
 
0.9%
88.9 11090
 
0.9%
92.9 11070
 
0.9%
87.5 10761
 
0.9%
Other values (614) 467851
38.6%
(Missing) 60902
 
5.0%
ValueCountFrequency (%)
0 4
< 0.1%
5 1
 
< 0.1%
6.7 1
 
< 0.1%
7.1 1
 
< 0.1%
7.7 1
 
< 0.1%
10 1
 
< 0.1%
10.5 1
 
< 0.1%
10.7 2
< 0.1%
11.1 1
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
100 566405
46.8%
99.3 1
 
< 0.1%
99.2 4
 
< 0.1%
99.1 3
 
< 0.1%
99 57
 
< 0.1%
98.9 47
 
< 0.1%
98.8 73
 
< 0.1%
98.7 121
 
< 0.1%
98.6 275
 
< 0.1%
98.5 362
 
< 0.1%

процент_счетов_прев_75_лимита
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct242
Distinct (%)< 0.1%
Missing55331
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean45.139655
Minimum0
Maximum100
Zeros278876
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:16.121851image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median42.9
Q375
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)65

Descriptive statistics

Standard deviation36.00162
Coefficient of variation (CV)0.7975608
Kurtosis-1.2856744
Mean45.139655
Median Absolute Deviation (MAD)32.1
Skewness0.20414808
Sum52156525
Variance1296.1166
MonotonicityNot monotonic
2025-07-31T05:15:16.253064image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 278876
23.0%
100 211006
17.4%
50 129778
10.7%
33.3 79782
 
6.6%
66.7 77439
 
6.4%
25 51790
 
4.3%
75 44720
 
3.7%
20 33619
 
2.8%
40 31046
 
2.6%
60 27562
 
2.3%
Other values (232) 189830
15.7%
(Missing) 55331
 
4.6%
ValueCountFrequency (%)
0 278876
23.0%
0.14 2
 
< 0.1%
0.17 1
 
< 0.1%
0.2 8
 
< 0.1%
0.25 17
 
< 0.1%
0.29 2
 
< 0.1%
0.33 45
 
< 0.1%
0.38 4
 
< 0.1%
0.4 10
 
< 0.1%
0.43 3
 
< 0.1%
ValueCountFrequency (%)
100 211006
17.4%
95.8 1
 
< 0.1%
95.5 2
 
< 0.1%
95 2
 
< 0.1%
94.7 3
 
< 0.1%
94.4 4
 
< 0.1%
94.1 10
 
< 0.1%
93.8 5
 
< 0.1%
93.7 16
 
< 0.1%
93.3 33
 
< 0.1%

кол-во_публ_банкротств
Real number (ℝ)

High correlation  Zeros 

Distinct12
Distinct (%)< 0.1%
Missing618
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean0.13443335
Minimum0
Maximum12
Zeros1059314
Zeros (%)87.5%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:16.369317image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum12
Range12
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.37813013
Coefficient of variation (CV)2.8127702
Kurtosis20.314762
Mean0.13443335
Median Absolute Deviation (MAD)0
Skewness3.454531
Sum162686
Variance0.1429824
MonotonicityNot monotonic
2025-07-31T05:15:16.486356image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 1059314
87.5%
1 141876
 
11.7%
2 6980
 
0.6%
3 1429
 
0.1%
4 365
 
< 0.1%
5 128
 
< 0.1%
6 43
 
< 0.1%
7 13
 
< 0.1%
8 8
 
< 0.1%
9 3
 
< 0.1%
Other values (2) 2
 
< 0.1%
(Missing) 618
 
0.1%
ValueCountFrequency (%)
0 1059314
87.5%
1 141876
 
11.7%
2 6980
 
0.6%
3 1429
 
0.1%
4 365
 
< 0.1%
5 128
 
< 0.1%
6 43
 
< 0.1%
7 13
 
< 0.1%
8 8
 
< 0.1%
9 3
 
< 0.1%
ValueCountFrequency (%)
12 1
 
< 0.1%
11 1
 
< 0.1%
9 3
 
< 0.1%
8 8
 
< 0.1%
7 13
 
< 0.1%
6 43
 
< 0.1%
5 128
 
< 0.1%
4 365
 
< 0.1%
3 1429
 
0.1%
2 6980
0.6%

кол-во_залогов
Real number (ℝ)

Skewed  Zeros 

Distinct35
Distinct (%)< 0.1%
Missing34
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean0.052214133
Minimum0
Maximum85
Zeros1171794
Zeros (%)96.8%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:16.601530image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum85
Range85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.39967784
Coefficient of variation (CV)7.6545913
Kurtosis3893.9754
Mean0.052214133
Median Absolute Deviation (MAD)0
Skewness33.815936
Sum63218
Variance0.15974238
MonotonicityNot monotonic
2025-07-31T05:15:16.729978image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
0 1171794
96.8%
1 26447
 
2.2%
2 7333
 
0.6%
3 2604
 
0.2%
4 1193
 
0.1%
5 618
 
0.1%
6 323
 
< 0.1%
7 158
 
< 0.1%
8 77
 
< 0.1%
9 54
 
< 0.1%
Other values (25) 144
 
< 0.1%
ValueCountFrequency (%)
0 1171794
96.8%
1 26447
 
2.2%
2 7333
 
0.6%
3 2604
 
0.2%
4 1193
 
0.1%
5 618
 
0.1%
6 323
 
< 0.1%
7 158
 
< 0.1%
8 77
 
< 0.1%
9 54
 
< 0.1%
ValueCountFrequency (%)
85 1
< 0.1%
63 1
< 0.1%
61 1
< 0.1%
53 1
< 0.1%
48 1
< 0.1%
46 2
< 0.1%
45 1
< 0.1%
37 1
< 0.1%
34 1
< 0.1%
27 2
< 0.1%

кредитный_лимит
Real number (ℝ)

High correlation  Missing 

Distinct408741
Distinct (%)35.5%
Missing60767
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean8723506.2
Minimum0
Maximum4.9999995 × 108
Zeros21
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:16.857768image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile940827.5
Q12482050
median5623025
Q312604450
95-th percentile24941395
Maximum4.9999995 × 108
Range4.9999995 × 108
Interquartile range (IQR)10122400

Descriptive statistics

Standard deviation8908826.9
Coefficient of variation (CV)1.0212438
Kurtosis108.80381
Mean8723506.2
Median Absolute Deviation (MAD)3890175
Skewness4.2719057
Sum1.0032137 × 1013
Variance7.9367197 × 1013
MonotonicityNot monotonic
2025-07-31T05:15:16.987876image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
775000 377
 
< 0.1%
825000 374
 
< 0.1%
625000 371
 
< 0.1%
875000 362
 
< 0.1%
750000 359
 
< 0.1%
900000 354
 
< 0.1%
800000 343
 
< 0.1%
675000 342
 
< 0.1%
690000 341
 
< 0.1%
500000 341
 
< 0.1%
Other values (408731) 1146448
94.7%
(Missing) 60767
 
5.0%
ValueCountFrequency (%)
0 21
< 0.1%
10000 3
 
< 0.1%
15000 11
< 0.1%
20000 1
 
< 0.1%
25000 24
< 0.1%
30000 4
 
< 0.1%
35000 6
 
< 0.1%
40000 15
< 0.1%
45000 7
 
< 0.1%
50000 24
< 0.1%
ValueCountFrequency (%)
499999950 10
< 0.1%
435012650 1
 
< 0.1%
429628050 1
 
< 0.1%
295772000 1
 
< 0.1%
268482950 1
 
< 0.1%
251130850 1
 
< 0.1%
246626200 1
 
< 0.1%
240970100 1
 
< 0.1%
223794550 1
 
< 0.1%
223048000 1
 
< 0.1%

кредитный_баланс_без_ипотеки
Real number (ℝ)

High correlation  Missing 

Distinct172717
Distinct (%)14.8%
Missing42482
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean2483355.1
Minimum0
Maximum1.7040475 × 108
Zeros602
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:17.136830image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile342300
Q11044150
median1865200
Q33127100
95-th percentile6657720
Maximum1.7040475 × 108
Range1.7040475 × 108
Interquartile range (IQR)2082950

Descriptive statistics

Standard deviation2387537.2
Coefficient of variation (CV)0.96141595
Kurtosis71.971498
Mean2483355.1
Median Absolute Deviation (MAD)960950
Skewness4.3268826
Sum2.9012963 × 1012
Variance5.700334 × 1012
MonotonicityNot monotonic
2025-07-31T05:15:17.290298image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 602
 
< 0.1%
1442100 37
 
< 0.1%
954750 37
 
< 0.1%
1702900 37
 
< 0.1%
1153400 36
 
< 0.1%
1240250 35
 
< 0.1%
1107300 34
 
< 0.1%
1153900 34
 
< 0.1%
1013750 34
 
< 0.1%
1193400 33
 
< 0.1%
Other values (172707) 1167378
96.4%
(Missing) 42482
 
3.5%
ValueCountFrequency (%)
0 602
< 0.1%
50 9
 
< 0.1%
100 13
 
< 0.1%
150 15
 
< 0.1%
200 8
 
< 0.1%
250 13
 
< 0.1%
300 12
 
< 0.1%
350 7
 
< 0.1%
400 7
 
< 0.1%
450 13
 
< 0.1%
ValueCountFrequency (%)
170404750 1
< 0.1%
134446000 1
< 0.1%
132222100 1
< 0.1%
96210000 1
< 0.1%
94823050 1
< 0.1%
89162700 1
< 0.1%
84215650 1
< 0.1%
78458950 1
< 0.1%
77406400 1
< 0.1%
75059350 1
< 0.1%

лимит_по_картам
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct15839
Distinct (%)1.4%
Missing42482
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean1082324.6
Minimum0
Maximum55275000
Zeros12849
Zeros (%)1.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:17.405818image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile115000
Q1390000
median755000
Q31405000
95-th percentile3155000
Maximum55275000
Range55275000
Interquartile range (IQR)1015000

Descriptive statistics

Standard deviation1078609.8
Coefficient of variation (CV)0.99656776
Kurtosis21.774989
Mean1082324.6
Median Absolute Deviation (MAD)445000
Skewness2.8928574
Sum1.2644766 × 1012
Variance1.1633992 × 1012
MonotonicityNot monotonic
2025-07-31T05:15:17.537237image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 12849
 
1.1%
250000 9507
 
0.8%
300000 8532
 
0.7%
350000 8048
 
0.7%
200000 7853
 
0.6%
500000 7807
 
0.6%
400000 7730
 
0.6%
150000 7712
 
0.6%
375000 7549
 
0.6%
450000 7340
 
0.6%
Other values (15829) 1083370
89.5%
(Missing) 42482
 
3.5%
ValueCountFrequency (%)
0 12849
1.1%
5000 10
 
< 0.1%
10000 133
 
< 0.1%
12500 3
 
< 0.1%
12550 1
 
< 0.1%
15000 1233
 
0.1%
18750 1
 
< 0.1%
20000 412
 
< 0.1%
21000 1
 
< 0.1%
21500 1
 
< 0.1%
ValueCountFrequency (%)
55275000 1
< 0.1%
38000000 1
< 0.1%
34200000 1
< 0.1%
30800000 1
< 0.1%
28575000 1
< 0.1%
28040000 1
< 0.1%
26110500 1
< 0.1%
23730000 1
< 0.1%
23045000 1
< 0.1%
22810000 1
< 0.1%

лимит_по_аннуитетным_счетам
Real number (ℝ)

High correlation  Missing  Zeros 

Distinct157812
Distinct (%)13.7%
Missing60767
Missing (%)5.0%
Infinite0
Infinite (%)0.0%
Mean2106561.7
Minimum0
Maximum1.0509565 × 108
Zeros140517
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:17.669033image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1736550
median1583950
Q32831450
95-th percentile6006050
Maximum1.0509565 × 108
Range1.0509565 × 108
Interquartile range (IQR)2094900

Descriptive statistics

Standard deviation2164372.8
Coefficient of variation (CV)1.0274434
Kurtosis30.73389
Mean2106561.7
Median Absolute Deviation (MAD)997550
Skewness3.1662099
Sum2.4225712 × 1012
Variance4.6845098 × 1012
MonotonicityNot monotonic
2025-07-31T05:15:17.823444image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 140517
 
11.6%
500000 6374
 
0.5%
750000 5088
 
0.4%
1000000 4016
 
0.3%
250000 3913
 
0.3%
1250000 3088
 
0.3%
600000 3009
 
0.2%
300000 2615
 
0.2%
400000 2427
 
0.2%
200000 1682
 
0.1%
Other values (157802) 977283
80.7%
(Missing) 60767
 
5.0%
ValueCountFrequency (%)
0 140517
11.6%
1800 1
 
< 0.1%
2950 1
 
< 0.1%
4700 1
 
< 0.1%
4750 1
 
< 0.1%
5000 2
 
< 0.1%
5100 1
 
< 0.1%
7450 1
 
< 0.1%
8050 1
 
< 0.1%
8600 1
 
< 0.1%
ValueCountFrequency (%)
105095650 1
< 0.1%
100000000 1
< 0.1%
86803200 1
< 0.1%
69017300 1
< 0.1%
65546150 1
< 0.1%
62089150 1
< 0.1%
60727300 1
< 0.1%
59197300 1
< 0.1%
58208350 1
< 0.1%
57390600 1
< 0.1%

кредитный_баланс_по_возоб_счетам
Real number (ℝ)

High correlation  Missing 

Distinct14752
Distinct (%)87.8%
Missing1193971
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean31479.386
Minimum0
Maximum309613
Zeros30
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size9.2 MiB
2025-07-31T05:15:17.939057image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4691.95
Q113795.5
median24660.5
Q340718.25
95-th percentile82173.85
Maximum309613
Range309613
Interquartile range (IQR)26922.75

Descriptive statistics

Standard deviation26599.397
Coefficient of variation (CV)0.84497826
Kurtosis10.58912
Mean31479.386
Median Absolute Deviation (MAD)12588.5
Skewness2.4224432
Sum5.2910552 × 108
Variance7.0752792 × 108
MonotonicityNot monotonic
2025-07-31T05:15:18.077394image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
< 0.1%
18684 5
 
< 0.1%
21280 5
 
< 0.1%
25668 4
 
< 0.1%
13039 4
 
< 0.1%
14643 4
 
< 0.1%
16232 4
 
< 0.1%
15191 4
 
< 0.1%
42579 4
 
< 0.1%
16637 4
 
< 0.1%
Other values (14742) 16740
 
1.4%
(Missing) 1193971
98.6%
ValueCountFrequency (%)
0 30
< 0.1%
2 1
 
< 0.1%
5 1
 
< 0.1%
18 1
 
< 0.1%
19 1
 
< 0.1%
24 1
 
< 0.1%
30 1
 
< 0.1%
63 2
 
< 0.1%
77 1
 
< 0.1%
82 1
 
< 0.1%
ValueCountFrequency (%)
309613 1
< 0.1%
304206 1
< 0.1%
290237 1
< 0.1%
280272 1
< 0.1%
279083 1
< 0.1%
270060 1
< 0.1%
266416 1
< 0.1%
262976 1
< 0.1%
262958 1
< 0.1%
257719 1
< 0.1%

Correlations

2025-07-31T05:15:18.462773image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
idаннуитетверхний_порог_рейтинга_заемщикавозвраты_с_учетом_мплгодовой_доходгрейд_на_детерминатореиндекс_проживанияитоговый_статус_займакол-во_активных_возобновляемых_счетовкол-во_активных_карткол-во_аннуитетных_счетовкол-во_аннуитетных_счетов_за_2_годакол-во_аннуитетных_счетов_за_годкол-во_взысканий_за_последний_годкол-во_возоб_счетов_за_2_годакол-во_возоб_счетов_за_годкол-во_возобновляемых_счетовкол-во_возобновляемых_счетов_с_балансом_более_0кол-во_залоговкол-во_записей_в_общедоступных_документахкол-во_заявок_за_полгодакол-во_заявок_на_кредит_за_годкол-во_ипотеккол-во_карткол-во_карт_без_нарушенийкол-во_мес_с_последней_задолженности_по_возобновляемому_счетукол-во_мес_с_последней_задолженности_по_картекол-во_мес_с_последней_заявкикол-во_месяцев_с_первого_аннуитетного_счетакол-во_месяцев_с_первого_возобновляемого_счетакол-во_месяцев_с_посл_аннуитетного_счетакол-во_месяцев_с_последнего_возобновляемого_счетакол-во_месяцев_с_последнего_займакол-во_месяцев_с_последнего_нарушениякол-во_месяцев_с_последнего_счетакол-во_месяцев_с_последней_картыкол-во_месяцев_с_последней_просрочкикол-во_открытых_возобновляемых_счетовкол-во_открытых_счетовкол-во_открытых_счетов_за_2_годакол-во_открытых_счетов_за_полгодакол-во_просрочек_за_два_годакол-во_публ_банкротствкол-во_списаний_за_годкол-во_счетовкол-во_счетов_без_нарушенийкол-во_счетов_за_посл_годкол-во_счетов_с_акт_просрочкой_1_мескол-во_счетов_с_акт_просрочкой_3_мес_за_2_годакол-во_счетов_с_акт_просрочкой_4_мес_обн_2_мескол-во_счетов_с_просрочкой_4_мескол-во_текущих_аннуитетных_счетовкол-во_текущих_просроченных_счетовкол-во_финансовых_запросовкол-во_финансовых_операцийкол_во_субсидий_за_годкоэфф_акционных_зачислений_в_остаткекоэфф_загрузки_возобновляемого_счетакоэфф_исходного_платежакредитный_баланс_без_ипотекикредитный_баланс_по_возоб_счетамкредитный_лимитлимит_по_аннуитетным_счетамлимит_по_картаммакс_баланс_по_возоб_счетамнижний_порог_рейтинга_заемщикаоборотный_балансобщая_сумма_взысканийобщая_сумма_на_счетахобщий_лимит_по_возоб_счетупднпроцент_счетов_без_просрочекпроцент_счетов_прев_75_лимитапроцентная_ставкарейтинг_OCRсовокупный_доход_заемщиковсовокупный_пдн_заемщиковсоотношение_баланса_к_лимиту_общеесоотношение_баланса_к_лимиту_по_картамсоотношение_сумм_текущего_баланса_к_лимиту_по_аннуитетным_счетамсредний_баланс_текущих_счетовсумма_выплат_по_просрочкамсумма_задолженностисумма_займасуммарная_доступная_сумма_займа_по_картамтекущий_баланс_по_аннуитетным_счетам
id1.000-0.0080.010-0.0000.0500.0010.0040.077-0.075-0.0600.0360.0400.0130.042-0.020-0.016-0.086-0.0800.0360.074-0.0810.016-0.037-0.124-0.013-0.012-0.029-0.028-0.013-0.025-0.027-0.016-0.0300.043-0.044-0.0470.004-0.0230.0330.104-0.0090.0220.0630.011-0.0230.0040.0770.009-0.0010.0010.031-0.0100.0060.0810.0250.000-0.000-0.1700.0010.0470.0530.0440.0850.057-0.0470.010-0.0600.0530.0190.0560.053-0.024-0.174-0.0530.0010.0920.033-0.105-0.179-0.0160.0110.0220.010-0.0070.1430.000
аннуитет-0.0081.0000.071-0.0000.4600.0010.0060.0640.1760.2140.0900.0330.005-0.0170.005-0.0120.1860.1760.013-0.080-0.0040.0330.1990.2100.224-0.036-0.038-0.0070.1090.1630.0000.0290.015-0.0070.0160.012-0.0300.1810.1970.016-0.0030.015-0.0910.0010.2040.193-0.0100.003-0.0150.000-0.0480.0690.0030.0150.0560.0020.0010.140-0.0000.3170.4010.3180.1850.3780.3740.0710.455-0.0700.2950.3950.0520.0500.0580.1270.0000.3670.0940.0340.078-0.0860.2420.0260.0040.9690.1860.156
верхний_порог_рейтинга_заемщика0.0100.0711.0000.0020.1040.001-0.0110.130-0.172-0.0860.0080.001-0.013-0.083-0.141-0.1160.015-0.169-0.079-0.262-0.099-0.1330.0990.0460.0650.0360.0030.0700.0250.1110.0010.1060.2450.0630.0770.0540.0970.0160.035-0.106-0.058-0.213-0.237-0.0640.0250.053-0.1030.017-0.146-0.021-0.2620.021-0.048-0.0580.0060.0010.001-0.3920.0000.0720.0380.2380.0830.3710.0731.0000.041-0.2400.1550.362-0.0410.347-0.381-0.4160.0000.084-0.036-0.376-0.409-0.1180.149-0.058-0.0420.1170.4750.030
возвраты_с_учетом_мпл-0.000-0.0000.0021.0000.0010.000-0.0000.0000.0010.001-0.0000.001-0.000-0.0000.0020.0020.0020.0000.000-0.002-0.001-0.0030.0010.0020.001-0.002-0.0000.0010.0000.0010.0000.0010.001-0.0020.0010.002-0.0010.0000.000-0.0000.000-0.000-0.001-0.0020.0010.001-0.0010.002-0.0010.001-0.0020.0020.001-0.0030.002-0.0010.001-0.000-0.0000.0010.0070.0020.0010.0020.0010.0020.0010.0010.0010.0020.0000.000-0.002-0.0030.0020.0050.0010.000-0.0010.0000.0010.0010.001-0.0000.0020.001
годовой_доход0.0500.4600.1040.0011.0000.0010.0030.0030.1300.1740.2410.1990.140-0.006-0.010-0.0030.2020.1310.053-0.0400.0390.1180.3660.2330.203-0.055-0.063-0.0610.2140.240-0.1380.018-0.071-0.039-0.0550.009-0.0690.1460.2490.1020.0700.083-0.0700.0190.3240.2450.0860.0000.0300.0080.0440.2270.0220.1040.1100.0020.0000.070-0.0000.4840.3000.5540.3960.3790.3550.1040.402-0.0410.5230.409-0.208-0.053-0.013-0.1290.0020.657-0.1150.0310.006-0.0840.4540.0050.0200.4810.2190.352
грейд_на_детерминаторе0.0010.0010.0010.0000.0011.0000.0010.0010.0010.0000.0000.0030.0010.0000.0000.0000.0000.0000.0000.0000.0000.0020.0010.0010.0000.0010.0000.0010.0000.0000.0000.0000.0000.0020.0010.0000.0030.0000.0030.0000.0000.0000.0010.0020.0010.0030.0000.0010.0000.0010.0020.0000.0010.0000.0000.0010.0000.0010.0000.0000.0030.0000.0000.0000.0000.0010.0000.0000.0000.0000.0010.0000.0010.0010.0000.0000.0090.0000.0020.0010.0000.0000.0010.0000.0020.000
индекс_проживания0.0040.006-0.011-0.0000.0030.0011.0000.026-0.029-0.0350.0120.0310.017-0.004-0.019-0.023-0.035-0.030-0.0260.0110.0000.0130.023-0.048-0.0370.0290.027-0.007-0.010-0.000-0.0150.0150.0530.0440.0020.0190.043-0.031-0.0420.004-0.004-0.0300.036-0.007-0.019-0.043-0.0000.005-0.018-0.0010.007-0.010-0.0060.0030.1220.000-0.0000.0140.0000.001-0.008-0.0010.012-0.0270.001-0.011-0.0130.0210.004-0.0240.0080.0160.010-0.0030.0000.033-0.0170.0070.0150.0040.019-0.017-0.0070.002-0.0270.020
итоговый_статус_займа0.0770.0640.1300.0000.0030.0010.0261.0000.0630.0410.0110.0250.0280.0000.0640.0550.0060.0650.0030.0020.0660.0350.0350.0150.0140.0130.0140.0580.0270.0590.0160.0340.0270.0080.0240.0400.0120.0300.0270.0840.0550.0110.0100.0000.0150.0260.0700.0020.0000.0020.0000.0080.0020.0290.0060.0010.0010.0220.0000.0070.0150.0160.0070.0190.0000.1300.0060.0000.0180.0000.0020.0110.0700.2560.0020.0490.1390.0890.0620.0400.0150.0290.0020.0730.0390.006
кол-во_активных_возобновляемых_счетов-0.0750.176-0.1720.0010.1300.001-0.0290.0631.0000.7810.0030.013-0.0120.0010.4310.3400.5530.9900.010-0.0000.1140.1100.0650.4640.638-0.0110.026-0.0520.0640.1600.013-0.2690.0400.046-0.166-0.2320.0100.7810.6450.3100.1850.005-0.008-0.0000.3730.6440.2330.000-0.014-0.005-0.0220.0250.0010.0110.0210.0000.0000.1210.0010.1930.3530.1450.0210.3130.222-0.1720.508-0.0060.1200.4440.2570.0420.1330.0940.0000.1410.223-0.0110.123-0.052-0.120-0.0010.0070.1670.1140.038
кол-во_активных_карт-0.0600.214-0.0860.0010.1740.000-0.0350.0410.7811.000-0.036-0.018-0.038-0.0100.3170.2430.4150.7770.012-0.0500.0620.0600.0310.5670.8350.010-0.014-0.0190.0320.1170.035-0.1670.0220.049-0.083-0.2940.0330.6200.5110.1880.113-0.043-0.061-0.0100.2600.5110.1330.001-0.038-0.006-0.0620.009-0.0070.000-0.0870.0010.0000.1240.0020.1890.3610.1400.0170.5330.337-0.0860.499-0.0430.1110.4500.1630.1000.0720.0230.0010.1710.158-0.0250.061-0.063-0.082-0.011-0.0020.2090.2870.026
кол-во_аннуитетных_счетов0.0360.0900.008-0.0000.2410.0000.0120.0110.003-0.0361.0000.5100.3660.0100.0020.0030.1210.005-0.009-0.0020.0690.1730.1520.067-0.0170.0020.002-0.0750.4180.034-0.343-0.006-0.052-0.032-0.1380.010-0.0150.0380.3820.2740.1450.0790.0030.0170.6540.3820.2060.0000.0510.0030.1010.6850.0130.2040.315-0.000-0.0010.0170.0010.5790.1690.3320.6500.0110.0550.0080.0630.0340.3540.0590.290-0.0690.018-0.0050.0020.2220.2640.2410.0190.2130.2340.0110.0110.110-0.0060.646
кол-во_аннуитетных_счетов_за_2_года0.0400.0330.0010.0010.1990.0030.0310.0250.013-0.0180.5101.0000.715-0.0020.0870.0560.0830.0140.0070.0600.1200.2880.1010.0530.0180.0780.083-0.1060.046-0.010-0.740-0.0500.0360.076-0.281-0.0460.0660.0650.2570.5750.283-0.0260.0660.0000.3330.2580.4290.000-0.028-0.0070.0340.519-0.0060.3730.2540.001-0.002-0.0770.0020.4220.0870.2190.479-0.018-0.0560.001-0.0330.0170.2410.0230.3060.018-0.0610.1570.0020.1220.2520.219-0.0680.3360.1590.011-0.0060.0300.0290.534
кол-во_аннуитетных_счетов_за_год0.0130.005-0.013-0.0000.1400.0010.0170.028-0.012-0.0380.3660.7151.0000.0010.0720.0630.051-0.0150.0080.0520.1470.3560.0720.029-0.0010.0660.068-0.1530.035-0.004-0.856-0.056-0.0050.039-0.361-0.0470.0540.0290.1750.4280.370-0.0120.054-0.0010.2360.1750.5660.000-0.005-0.0050.0420.385-0.0050.2820.179-0.001-0.002-0.0910.0010.3150.0630.1500.343-0.039-0.081-0.013-0.0720.0190.174-0.0090.209-0.007-0.0760.1790.0000.0910.1800.197-0.0830.4000.1190.016-0.006-0.0040.0210.415
кол-во_взысканий_за_последний_год0.042-0.017-0.083-0.000-0.0060.000-0.0040.0000.001-0.0100.010-0.0020.0011.0000.0190.016-0.003-0.0030.0190.0150.0100.019-0.011-0.014-0.002-0.012-0.014-0.0130.008-0.009-0.001-0.011-0.024-0.134-0.008-0.007-0.0450.0050.0120.0170.0080.081-0.0000.0460.0070.0100.0130.0000.1410.0030.0640.0070.0170.008-0.0050.000-0.000-0.040-0.000-0.014-0.032-0.0100.005-0.034-0.048-0.083-0.0460.219-0.012-0.030-0.004-0.059-0.0340.0180.000-0.0170.002-0.017-0.0350.005-0.0170.0090.015-0.020-0.0020.003
кол-во_возоб_счетов_за_2_года-0.0200.005-0.1410.002-0.0100.000-0.0190.0640.4310.3170.0020.0870.0720.0191.0000.7520.4240.4270.0280.1260.2720.308-0.0430.3370.3810.0980.141-0.164-0.032-0.062-0.075-0.643-0.1130.091-0.437-0.5970.1030.5370.4300.8050.447-0.0470.1170.0040.2750.4280.6170.000-0.023-0.0050.077-0.014-0.0040.1210.017-0.004-0.002-0.2160.0030.0070.003-0.007-0.0160.111-0.094-0.1410.0460.080-0.0370.1960.038-0.003-0.1390.1620.000-0.0070.021-0.170-0.1750.082-0.2100.007-0.003-0.0150.1740.009
кол-во_возоб_счетов_за_год-0.016-0.012-0.1160.002-0.0030.000-0.0230.0550.3400.2430.0030.0560.0630.0160.7521.0000.3310.3340.0260.0950.3120.331-0.0220.2640.2970.0820.103-0.212-0.012-0.026-0.060-0.803-0.1000.041-0.567-0.6670.0800.4120.3280.6020.580-0.0280.0820.0000.2190.3270.7930.0040.000-0.0050.077-0.020-0.0050.0860.009-0.004-0.000-0.1950.004-0.002-0.0080.003-0.0170.089-0.087-0.1160.0230.071-0.0240.1550.006-0.025-0.1410.1440.0000.006-0.010-0.156-0.1720.068-0.1580.006-0.003-0.0310.1570.003
кол-во_возобновляемых_счетов-0.0860.1860.0150.0020.2020.000-0.0350.0060.5530.4150.1210.0830.051-0.0030.4240.3311.0000.551-0.0220.0380.1410.1620.2520.8260.540-0.0210.025-0.0900.1690.415-0.043-0.262-0.176-0.010-0.192-0.212-0.0380.7620.6460.3440.2200.0890.0580.0400.7640.6400.2630.0100.0420.0090.0810.0230.0250.0680.122-0.0000.001-0.1720.0010.1800.3000.2460.0650.3740.1850.0150.353-0.0060.1840.5090.148-0.051-0.099-0.0630.0000.1970.128-0.227-0.136-0.055-0.032-0.0290.0210.1970.3130.069
кол-во_возобновляемых_счетов_с_балансом_более_0-0.0800.176-0.1690.0000.1310.000-0.0300.0650.9900.7770.0050.014-0.015-0.0030.4270.3340.5511.0000.011-0.0080.1030.1040.0630.4630.628-0.0130.024-0.0440.0630.1570.018-0.2630.0510.052-0.160-0.2270.0080.7840.6470.3050.1790.002-0.018-0.0020.3730.6480.2250.000-0.020-0.004-0.0160.0250.0010.0200.0280.0010.0000.1250.0010.1960.3540.1470.0220.3140.218-0.1690.513-0.0040.1210.4470.2570.0490.1360.0920.0000.1420.223-0.0020.126-0.053-0.119-0.0010.0070.1670.1180.038
кол-во_залогов0.0360.013-0.0790.0000.0530.000-0.0260.0030.0100.012-0.0090.0070.0080.0190.0280.026-0.0220.0111.0000.4310.0110.025-0.014-0.0150.0030.0100.011-0.0160.0220.013-0.007-0.018-0.3120.017-0.019-0.0150.007-0.000-0.0020.0220.0160.0190.041-0.000-0.021-0.0050.0230.0000.0060.0020.031-0.0050.0080.017-0.023-0.000-0.001-0.015-0.000-0.007-0.018-0.0100.008-0.036-0.034-0.079-0.0350.060-0.011-0.037-0.034-0.050-0.0230.0180.0010.011-0.0190.002-0.016-0.002-0.0120.0170.0080.007-0.0120.003
кол-во_записей_в_общедоступных_документах0.074-0.080-0.262-0.002-0.0400.0000.0110.002-0.000-0.050-0.0020.0600.0520.0150.1260.0950.038-0.0080.4311.0000.0720.1110.013-0.002-0.0460.1140.126-0.0600.0540.061-0.048-0.084-0.3190.100-0.074-0.0420.1050.010-0.0160.1210.069-0.0390.827-0.0070.022-0.0300.1040.000-0.0090.0010.019-0.017-0.0030.0700.0170.000-0.001-0.089-0.001-0.096-0.104-0.114-0.024-0.192-0.148-0.262-0.1940.081-0.105-0.179-0.041-0.017-0.0510.0710.001-0.074-0.027-0.014-0.0470.025-0.102-0.002-0.003-0.088-0.083-0.013
кол-во_заявок_за_полгода-0.081-0.004-0.099-0.0010.0390.0000.0000.0660.1140.0620.0690.1200.1470.0100.2720.3120.1410.1030.0110.0721.0000.5300.0370.1140.0970.0330.036-0.7090.011-0.004-0.162-0.319-0.072-0.016-0.346-0.2160.0190.1340.1300.2560.4090.0170.0730.0090.1380.1330.3100.0020.033-0.0000.0510.049-0.0050.2070.030-0.0010.000-0.081-0.0010.037-0.0100.0300.048-0.025-0.080-0.099-0.0400.0310.0270.0090.002-0.042-0.0610.2150.0000.0030.013-0.040-0.0710.089-0.0240.016-0.005-0.0230.0220.063
кол-во_заявок_на_кредит_за_год0.0160.033-0.133-0.0030.1180.0020.0130.0350.1100.0600.1730.2880.3560.0190.3080.3310.1620.1040.0250.1110.5301.0000.1250.1210.1080.0420.049-0.6400.019-0.029-0.320-0.261-0.0700.002-0.342-0.2080.0230.1660.2000.4240.3490.0270.1090.0130.2200.1990.5000.0000.027-0.0050.0910.131-0.0040.4960.087-0.0010.000-0.1300.0010.155-0.0370.1520.171-0.019-0.103-0.133-0.0550.0620.1610.0260.050-0.054-0.1060.2000.0010.0780.0500.023-0.1150.1900.0920.022-0.0050.0190.0500.209
кол-во_ипотек-0.0370.1990.0990.0010.3660.0010.0230.0350.0650.0310.1520.1010.072-0.011-0.043-0.0220.2520.063-0.0140.0130.0370.1251.0000.2040.063-0.032-0.029-0.0510.2330.352-0.0640.014-0.104-0.068-0.0510.042-0.0690.0960.1550.0790.0630.1060.0220.0320.3940.1510.0700.0040.0610.0140.0980.0410.0280.1120.1840.0000.0010.029-0.0010.2020.2320.6480.1300.1980.2130.0990.249-0.0190.6380.261-0.029-0.1050.007-0.1000.0000.294-0.007-0.0160.007-0.0610.625-0.0220.0250.2300.1160.124
кол-во_карт-0.1240.2100.0460.0020.2330.001-0.0480.0150.4640.5670.0670.0530.029-0.0140.3370.2640.8260.463-0.015-0.0020.1140.1210.2041.0000.7070.0300.034-0.0660.1380.360-0.025-0.191-0.1850.009-0.133-0.2600.0050.6040.5050.2420.1690.0360.0110.0310.6170.5010.1890.0050.0210.0060.0560.0030.0150.0530.0060.0000.001-0.1160.0020.1670.3230.2240.0440.5140.2630.0460.358-0.0410.1640.4890.083-0.010-0.127-0.0910.0000.2150.088-0.214-0.169-0.065-0.008-0.0340.0110.2210.4170.048
кол-во_карт_без_нарушений-0.0130.2240.0650.0010.2030.000-0.0370.0140.6380.835-0.0170.018-0.001-0.0020.3810.2970.5400.6280.003-0.0460.0970.1080.0630.7071.000-0.010-0.037-0.0550.0340.157-0.006-0.215-0.0140.036-0.134-0.3550.0230.7290.6020.2560.171-0.036-0.050-0.0040.3570.6010.1950.000-0.031-0.002-0.0810.001-0.0030.024-0.0700.0010.001-0.1150.0030.1780.3330.1860.0310.6470.2940.0650.422-0.0440.1220.5670.1080.114-0.153-0.0620.0000.1950.118-0.214-0.202-0.055-0.098-0.0260.0010.2290.5260.038
кол-во_мес_с_последней_задолженности_по_возобновляемому_счету-0.012-0.0360.036-0.002-0.0550.0010.0290.013-0.0110.0100.0020.0780.066-0.0120.0980.082-0.021-0.0130.0100.1140.0330.042-0.0320.030-0.0101.0000.886-0.012-0.006-0.014-0.062-0.070-0.0880.552-0.065-0.0940.871-0.053-0.0650.1290.064-0.7260.110-0.063-0.023-0.0640.1130.055-0.211-0.0410.208-0.013-0.1380.035-0.0050.000-0.0020.0320.000-0.0210.034-0.078-0.023-0.0360.0030.036-0.0300.074-0.059-0.0550.0020.0750.026-0.0110.003-0.0460.0350.0560.0350.070-0.040-0.043-0.111-0.033-0.0410.007
кол-во_мес_с_последней_задолженности_по_карте-0.029-0.0380.003-0.000-0.0630.0000.0270.0140.026-0.0140.0020.0830.068-0.0140.1410.1030.0250.0240.0110.1260.0360.049-0.0290.034-0.0370.8861.000-0.009-0.0030.003-0.063-0.088-0.0620.586-0.073-0.1010.7630.000-0.0210.1640.071-0.6340.120-0.0510.009-0.0200.1260.053-0.223-0.0320.226-0.015-0.1150.0370.005-0.001-0.0030.014-0.001-0.0200.017-0.073-0.024-0.051-0.0040.003-0.0180.088-0.058-0.0320.0110.0590.027-0.0060.003-0.0540.0330.0460.0360.068-0.053-0.044-0.088-0.037-0.0490.005
кол-во_мес_с_последней_заявки-0.028-0.0070.0700.001-0.0610.001-0.0070.058-0.052-0.019-0.075-0.106-0.153-0.013-0.164-0.212-0.090-0.044-0.016-0.060-0.709-0.640-0.051-0.066-0.055-0.012-0.0091.000-0.0130.0010.1740.2500.0650.0210.3290.152-0.002-0.082-0.096-0.188-0.307-0.028-0.057-0.008-0.112-0.094-0.2640.003-0.0310.000-0.051-0.0460.004-0.242-0.036-0.000-0.0010.0950.002-0.0500.034-0.052-0.0630.0180.0760.0700.050-0.034-0.048-0.0090.0060.0420.081-0.1780.001-0.0400.0060.0300.088-0.086-0.013-0.0210.0040.005-0.037-0.077
кол-во_месяцев_с_первого_аннуитетного_счета-0.0130.1090.0250.0000.2140.000-0.0100.0270.0640.0320.4180.0460.0350.008-0.032-0.0120.1690.0630.0220.0540.0110.0190.2330.1380.034-0.006-0.003-0.0131.0000.296-0.0190.012-0.062-0.014-0.0100.034-0.0070.0630.137-0.0010.0190.0860.0450.0190.3640.1350.0130.0070.0570.0070.1170.1860.0190.0100.121-0.0010.0020.0590.0010.2350.1580.2320.2170.0980.1270.0250.1530.0290.2260.1310.053-0.1380.045-0.0760.0010.1940.0680.0470.050-0.0320.190-0.0050.0160.1280.0280.213
кол-во_месяцев_с_первого_возобновляемого_счета-0.0250.1630.1110.0010.2400.000-0.0000.0590.1600.1170.034-0.010-0.004-0.009-0.062-0.0260.4150.1570.0130.061-0.004-0.0290.3520.3600.157-0.0140.0030.0010.2961.0000.0150.024-0.152-0.0180.0050.057-0.0510.2060.156-0.0520.0020.1060.0600.0350.3460.151-0.0170.0130.0540.0110.100-0.0500.031-0.0380.0690.0020.0010.0170.0000.1290.2300.2470.0170.2740.2430.1110.292-0.0150.2070.3250.043-0.1420.018-0.1500.0010.1990.012-0.0770.000-0.1060.173-0.0190.0260.1840.1650.002
кол-во_месяцев_с_посл_аннуитетного_счета-0.0270.0000.0010.000-0.1380.000-0.0150.0160.0130.035-0.343-0.740-0.856-0.001-0.075-0.060-0.0430.018-0.007-0.048-0.162-0.320-0.064-0.025-0.006-0.062-0.0630.174-0.0190.0151.0000.058-0.005-0.0420.4330.051-0.052-0.028-0.165-0.424-0.4270.019-0.0520.001-0.212-0.164-0.4820.0000.0120.006-0.024-0.3810.006-0.284-0.1690.0010.0030.101-0.000-0.318-0.049-0.147-0.3520.0330.0840.0010.077-0.011-0.1710.006-0.223-0.0100.085-0.1720.000-0.081-0.186-0.1940.094-0.427-0.118-0.0160.0070.008-0.031-0.432
кол-во_месяцев_с_последнего_возобновляемого_счета-0.0160.0290.1060.0010.0180.0000.0150.034-0.269-0.167-0.006-0.050-0.056-0.011-0.643-0.803-0.262-0.263-0.018-0.084-0.319-0.2610.014-0.191-0.215-0.070-0.0880.2500.0120.0240.0581.0000.073-0.0470.7650.690-0.069-0.326-0.259-0.496-0.6760.019-0.077-0.001-0.174-0.257-0.6260.000-0.0000.005-0.0640.0120.004-0.071-0.0120.000-0.0010.195-0.0020.0150.0220.0070.007-0.0320.0860.1060.018-0.0550.027-0.096-0.0070.0290.136-0.1390.0010.0010.0170.1410.164-0.0580.132-0.0070.0020.045-0.124-0.006
кол-во_месяцев_с_последнего_займа-0.0300.0150.2450.001-0.0710.0000.0530.0270.0400.022-0.0520.036-0.005-0.024-0.113-0.100-0.1760.051-0.312-0.319-0.072-0.070-0.104-0.185-0.014-0.088-0.0620.065-0.062-0.152-0.0050.0731.0000.0780.0620.081-0.0340.0280.012-0.084-0.059-0.0620.298-0.032-0.1800.026-0.0910.009-0.070-0.009-0.2070.015-0.013-0.0230.0230.0000.0030.069-0.0020.0010.1750.042-0.0070.0410.0640.2450.104-0.0840.0410.0740.0680.2460.0880.0120.0000.0220.125-0.0250.082-0.0490.034-0.032-0.0100.024-0.0260.011
кол-во_месяцев_с_последнего_нарушения0.043-0.0070.063-0.002-0.0390.0020.0440.0080.0460.049-0.0320.0760.039-0.1340.0910.041-0.0100.0520.0170.100-0.0160.002-0.0680.0090.0360.5520.5860.021-0.014-0.018-0.042-0.0470.0781.000-0.039-0.0710.6900.0480.0100.1490.023-0.5470.095-0.212-0.0480.0140.0820.009-0.698-0.094-0.056-0.034-0.1080.0190.011-0.0020.002-0.008-0.001-0.0140.096-0.047-0.0230.0400.0650.0630.0340.051-0.0440.0450.0300.1260.008-0.0240.003-0.0160.051-0.0090.008-0.002-0.052-0.021-0.082-0.0020.031-0.016
кол-во_месяцев_с_последнего_счета-0.0440.0160.0770.001-0.0550.0010.0020.024-0.166-0.083-0.138-0.281-0.361-0.008-0.437-0.567-0.192-0.160-0.019-0.074-0.346-0.342-0.051-0.133-0.134-0.065-0.0730.329-0.0100.0050.4330.7650.062-0.0391.0000.499-0.058-0.222-0.241-0.506-0.8380.005-0.066-0.001-0.212-0.240-0.6800.000-0.0060.005-0.064-0.1250.004-0.156-0.080-0.0010.0000.182-0.002-0.104-0.007-0.084-0.123-0.0010.0990.0770.053-0.048-0.079-0.059-0.0680.0330.135-0.1640.000-0.058-0.0410.0380.160-0.1990.011-0.0180.0030.028-0.100-0.156
кол-во_месяцев_с_последней_карты-0.0470.0120.0540.0020.0090.0000.0190.040-0.232-0.2940.010-0.046-0.047-0.007-0.597-0.667-0.212-0.227-0.015-0.042-0.216-0.2080.042-0.260-0.355-0.094-0.1010.1520.0340.0570.0510.6900.081-0.0710.4991.000-0.093-0.284-0.226-0.456-0.4940.051-0.0290.004-0.129-0.225-0.5100.0030.0220.007-0.0450.0100.008-0.0620.018-0.000-0.0010.187-0.0030.0110.0080.0090.007-0.1440.0490.0540.005-0.0330.033-0.1160.011-0.0000.185-0.1080.0010.0020.0160.1460.221-0.0530.127-0.0060.0050.027-0.236-0.002
кол-во_месяцев_с_последней_просрочки0.004-0.0300.097-0.001-0.0690.0030.0430.0120.0100.033-0.0150.0660.054-0.0450.1030.080-0.0380.0080.0070.1050.0190.023-0.0690.0050.0230.8710.763-0.002-0.007-0.051-0.052-0.069-0.0340.690-0.058-0.0931.000-0.019-0.0520.1260.058-0.8220.114-0.121-0.051-0.0510.1050.053-0.349-0.0670.061-0.033-0.1670.015-0.003-0.001-0.0010.017-0.001-0.0310.069-0.106-0.0460.0100.0250.0970.0020.051-0.090-0.0070.0060.1910.012-0.0320.002-0.0610.0400.0280.0180.061-0.077-0.044-0.142-0.024-0.001-0.013
кол-во_открытых_возобновляемых_счетов-0.0230.1810.0160.0000.1460.000-0.0310.0300.7810.6200.0380.0650.0290.0050.5370.4120.7620.784-0.0000.0100.1340.1660.0960.6040.729-0.0530.000-0.0820.0630.206-0.028-0.3260.0280.048-0.222-0.284-0.0191.0000.8260.4160.2490.0200.0120.0060.5360.8250.3080.006-0.0190.002-0.0170.0160.0130.0670.0590.0010.001-0.2080.0020.1770.2980.1920.0410.4350.1680.0160.4040.0130.1240.5890.1890.069-0.116-0.0130.0010.1570.166-0.254-0.159-0.037-0.166-0.0220.0160.1840.3640.052
кол-во_открытых_счетов0.0330.1970.0350.0000.2490.003-0.0420.0270.6450.5110.3820.2570.1750.0120.4300.3280.6460.647-0.002-0.0160.1300.2000.1550.5050.602-0.065-0.021-0.0960.1370.156-0.165-0.2590.0120.010-0.241-0.226-0.0520.8261.0000.4690.2640.062-0.0190.0090.6950.9980.3450.0090.0050.0040.0090.4530.0220.1250.1180.002-0.000-0.1420.0020.4730.3410.3900.3860.3820.1860.0350.3780.0190.3440.5200.3200.039-0.075-0.0140.0000.2570.266-0.039-0.1090.0950.004-0.0090.0250.2060.3000.378
кол-во_открытых_счетов_за_2_года0.1040.016-0.106-0.0000.1020.0000.0040.0840.3100.1880.2740.5750.4280.0170.8050.6020.3440.3050.0220.1210.2560.4240.0790.2420.2560.1290.164-0.188-0.001-0.052-0.424-0.496-0.0840.149-0.506-0.4560.1260.4160.4691.0000.526-0.0530.1190.0030.3970.4670.7380.000-0.042-0.0050.0720.251-0.0030.3090.158-0.000-0.001-0.2280.0010.2220.0660.1610.2450.036-0.094-0.106-0.0080.0660.1520.1370.1730.007-0.1510.1870.0010.0940.136-0.026-0.1770.232-0.0180.018-0.0020.0070.1320.282
кол-во_открытых_счетов_за_полгода-0.009-0.003-0.0580.0000.0700.000-0.0040.0550.1850.1130.1450.2830.3700.0080.4470.5800.2200.1790.0160.0690.4090.3490.0630.1690.1710.0640.071-0.3070.0190.002-0.427-0.676-0.0590.023-0.838-0.4940.0580.2490.2640.5261.000-0.0060.0610.0020.2370.2630.7000.0000.010-0.0060.0650.123-0.0060.1580.083-0.000-0.002-0.1830.0040.1130.0100.1060.1160.041-0.099-0.058-0.0330.0490.0990.0940.052-0.026-0.1440.1550.0000.0630.034-0.039-0.1720.2070.0010.015-0.007-0.0170.1240.155
кол-во_просрочек_за_два_года0.0220.015-0.213-0.0000.0830.000-0.0300.0110.005-0.0430.079-0.026-0.0120.081-0.047-0.0280.0890.0020.019-0.0390.0170.0270.1060.036-0.036-0.726-0.634-0.0280.0860.1060.0190.019-0.062-0.5470.0050.051-0.8220.0200.062-0.053-0.0061.000-0.0620.1440.1260.056-0.0330.0290.5170.0580.2070.0570.1450.0180.0240.0000.001-0.0120.0010.028-0.0550.0880.066-0.088-0.058-0.213-0.0530.0330.083-0.063-0.009-0.486-0.0080.0600.0010.069-0.0270.005-0.007-0.0330.0680.0480.1290.006-0.0530.046
кол-во_публ_банкротств0.063-0.091-0.237-0.001-0.0700.0010.0360.010-0.008-0.0610.0030.0660.054-0.0000.1170.0820.058-0.0180.0410.8270.0730.1090.0220.011-0.0500.1100.120-0.0570.0450.060-0.052-0.0770.2980.095-0.066-0.0290.1140.012-0.0190.1190.061-0.0621.000-0.0130.037-0.0340.0970.000-0.021-0.002-0.033-0.015-0.0100.0680.0370.0010.001-0.091-0.001-0.099-0.100-0.125-0.027-0.184-0.136-0.237-0.1900.023-0.115-0.171-0.0260.042-0.0430.0650.000-0.082-0.019-0.021-0.0420.024-0.110-0.013-0.010-0.096-0.081-0.014
кол-во_списаний_за_год0.0110.001-0.064-0.0020.0190.002-0.0070.000-0.000-0.0100.0170.000-0.0010.0460.0040.0000.040-0.002-0.000-0.0070.0090.0130.0320.031-0.004-0.063-0.051-0.0080.0190.0350.001-0.001-0.032-0.212-0.0010.004-0.1210.0060.0090.0030.0020.144-0.0131.0000.0440.007-0.0010.0000.2740.0460.1450.0040.0470.0100.005-0.001-0.000-0.014-0.001-0.004-0.0110.0090.007-0.021-0.020-0.064-0.0200.0040.007-0.016-0.004-0.096-0.0130.0140.0000.0040.001-0.008-0.013-0.0050.0050.0040.010-0.001-0.0060.003
кол-во_счетов-0.0230.2040.0250.0010.3240.001-0.0190.0150.3730.2600.6540.3330.2360.0070.2750.2190.7640.373-0.0210.0220.1380.2200.3940.6170.357-0.0230.009-0.1120.3640.346-0.212-0.174-0.180-0.048-0.212-0.129-0.0510.5360.6950.3970.2370.1260.0370.0441.0000.6900.3020.0110.0740.0110.1360.3950.0300.1680.262-0.000-0.000-0.1010.0010.4820.3170.4450.4180.2850.1780.0250.3060.0130.4140.4070.243-0.087-0.058-0.0570.0000.2990.220-0.011-0.0820.0900.190-0.0150.0260.2260.2240.421
кол-во_счетов_без_нарушений0.0040.1930.0530.0010.2450.003-0.0430.0260.6440.5110.3820.2580.1750.0100.4280.3270.6400.648-0.005-0.0300.1330.1990.1510.5010.601-0.064-0.020-0.0940.1350.151-0.164-0.2570.0260.014-0.240-0.225-0.0510.8250.9980.4670.2630.056-0.0340.0070.6901.0000.3430.0050.0020.0010.0090.4540.0110.1270.1190.002-0.000-0.1450.0020.4740.3420.3910.3860.3850.1860.0530.3790.0200.3440.5220.3140.042-0.075-0.0190.0000.2580.266-0.039-0.1090.0960.004-0.0080.0120.2030.3010.379
кол-во_счетов_за_посл_год0.077-0.010-0.103-0.0010.0860.000-0.0000.0700.2330.1330.2060.4290.5660.0130.6170.7930.2630.2250.0230.1040.3100.5000.0700.1890.1950.1130.126-0.2640.013-0.017-0.482-0.626-0.0910.082-0.680-0.5100.1050.3080.3450.7380.700-0.0330.097-0.0010.3020.3431.0000.002-0.010-0.0060.0820.188-0.0060.2410.116-0.000-0.001-0.2150.0010.1620.0350.1250.1810.018-0.106-0.103-0.0420.0610.1200.0930.107-0.028-0.1580.2070.0000.0820.074-0.025-0.1820.261-0.0070.019-0.005-0.0250.1220.225
кол-во_счетов_с_акт_просрочкой_1_мес0.0090.0030.0170.0020.0000.0010.0050.0020.0000.0010.0000.0000.0000.0000.0000.0040.0100.0000.0000.0000.0020.0000.0040.0050.0000.0550.0530.0030.0070.0130.0000.0000.0090.0090.0000.0030.0530.0060.0090.0000.0000.0290.0000.0000.0110.0050.0021.0000.0000.0030.0000.0070.5640.0000.0000.0000.0000.0020.0000.0000.0000.0060.0040.0000.0000.0170.0030.0000.0050.0000.0000.0180.0100.0090.0020.0000.0150.0120.0100.0050.0030.0030.0060.0020.0010.000
кол-во_счетов_с_акт_просрочкой_3_мес_за_2_года-0.001-0.015-0.146-0.0010.0300.000-0.0180.000-0.014-0.0380.051-0.028-0.0050.141-0.0230.0000.042-0.0200.006-0.0090.0330.0270.0610.021-0.031-0.211-0.223-0.0310.0570.0540.012-0.000-0.070-0.698-0.0060.022-0.349-0.0190.005-0.0420.0100.517-0.0210.2740.0740.002-0.0100.0001.0000.1170.3310.0310.0910.0090.001-0.000-0.002-0.0090.002-0.002-0.0490.0170.026-0.087-0.070-0.146-0.0730.0220.020-0.080-0.023-0.264-0.0120.0410.0000.023-0.0270.014-0.0100.0080.0200.0210.066-0.021-0.0530.024
кол-во_счетов_с_акт_просрочкой_4_мес_обн_2_мес0.0010.000-0.0210.0010.0080.001-0.0010.002-0.005-0.0060.003-0.007-0.0050.003-0.005-0.0050.009-0.0040.0020.001-0.000-0.0050.0140.006-0.002-0.041-0.0320.0000.0070.0110.0060.005-0.009-0.0940.0050.007-0.0670.0020.004-0.005-0.0060.058-0.0020.0460.0110.001-0.0060.0030.1171.0000.0500.0020.394-0.002-0.000-0.0000.001-0.0120.0020.001-0.0020.0090.005-0.003-0.008-0.021-0.0090.0040.008-0.001-0.005-0.027-0.0110.0070.000-0.0070.001-0.007-0.011-0.0050.0070.0020.227-0.0010.0050.002
кол-во_счетов_с_просрочкой_4_мес0.031-0.048-0.262-0.0020.0440.0020.0070.000-0.022-0.0620.1010.0340.0420.0640.0770.0770.081-0.0160.0310.0190.0510.0910.0980.056-0.0810.2080.226-0.0510.1170.100-0.024-0.064-0.207-0.056-0.064-0.0450.061-0.0170.0090.0720.0650.207-0.0330.1450.1360.0090.0820.0000.3310.0501.0000.0550.0330.0830.0150.001-0.001-0.0270.001-0.014-0.085-0.0000.039-0.182-0.141-0.262-0.1550.1270.011-0.167-0.053-0.588-0.0270.0650.0020.038-0.0450.066-0.0200.0690.0090.0240.019-0.056-0.0980.055
кол-во_текущих_аннуитетных_счетов-0.0100.0690.0210.0020.2270.000-0.0100.0080.0250.0090.6850.5190.3850.007-0.014-0.0200.0230.025-0.005-0.0170.0490.1310.0410.0030.001-0.013-0.015-0.0460.186-0.050-0.3810.0120.015-0.034-0.1250.010-0.0330.0160.4530.2510.1230.057-0.0150.0040.3950.4540.1880.0070.0310.0020.0551.0000.0100.1690.1770.001-0.0020.0650.0010.6430.1680.3010.7670.0080.0550.0210.0680.0150.3270.0270.424-0.0400.0600.0530.0000.2120.3230.3290.0650.1980.1700.0140.0090.073-0.0320.751
кол-во_текущих_просроченных_счетов0.0060.003-0.0480.0010.0220.001-0.0060.0020.001-0.0070.013-0.006-0.0050.017-0.004-0.0050.0250.0010.008-0.003-0.005-0.0040.0280.015-0.003-0.138-0.1150.0040.0190.0310.0060.004-0.013-0.1080.0040.008-0.1670.0130.022-0.003-0.0060.145-0.0100.0470.0300.011-0.0060.5640.0910.3940.0330.0101.000-0.0050.002-0.001-0.000-0.029-0.0000.011-0.0060.0300.0190.006-0.005-0.048-0.0060.0010.0240.0130.005-0.066-0.0240.0190.0000.0090.003-0.024-0.027-0.0160.0180.0080.7610.0010.0200.009
кол-во_финансовых_запросов0.0810.015-0.058-0.0030.1040.0000.0030.0290.0110.0000.2040.3730.2820.0080.1210.0860.0680.0200.0170.0700.2070.4960.1120.0530.0240.0350.037-0.2420.010-0.038-0.284-0.071-0.0230.019-0.156-0.0620.0150.0670.1250.3090.1580.0180.0680.0100.1680.1270.2410.0000.009-0.0020.0830.169-0.0051.0000.103-0.0010.000-0.0910.0040.167-0.0060.1460.204-0.043-0.092-0.058-0.0740.0530.160-0.0220.095-0.037-0.0770.1390.0000.0650.0900.071-0.0810.1550.1220.013-0.0070.0080.0230.233
кол-во_финансовых_операций0.0250.0560.0060.0020.1100.0000.1220.0060.021-0.0870.3150.2540.179-0.0050.0170.0090.1220.028-0.0230.0170.0300.0870.1840.006-0.070-0.0050.005-0.0360.1210.069-0.169-0.0120.0230.011-0.0800.018-0.0030.0590.1180.1580.0830.0240.0370.0050.2620.1190.1160.0000.001-0.0000.0150.1770.0020.1031.000-0.001-0.0010.022-0.0010.1900.1310.1820.202-0.033-0.0090.0060.083-0.0040.1840.0740.148-0.0000.0020.0100.0000.1140.1430.059-0.0010.0270.1540.0070.0000.067-0.0140.197
кол_во_субсидий_за_год0.0000.0020.001-0.0010.0020.0010.0000.0010.0000.001-0.0000.001-0.0010.000-0.004-0.004-0.0000.001-0.0000.000-0.001-0.0010.0000.0000.0010.000-0.001-0.000-0.0010.0020.0010.0000.000-0.002-0.001-0.000-0.0010.0010.002-0.000-0.0000.0000.001-0.001-0.0000.002-0.0000.000-0.000-0.0000.0010.001-0.001-0.001-0.0011.000-0.000-0.0000.0010.0000.0090.002-0.0000.001-0.0000.0010.000-0.0020.0020.001-0.002-0.001-0.000-0.0010.0000.0010.0030.000-0.0010.0010.002-0.000-0.0010.0020.0010.000
коэфф_акционных_зачислений_в_остатке-0.0000.0010.0010.0010.0000.000-0.0000.0010.0000.000-0.001-0.002-0.002-0.000-0.002-0.0000.0010.000-0.001-0.0010.0000.0000.0010.0010.001-0.002-0.003-0.0010.0020.0010.003-0.0010.0030.0020.000-0.001-0.0010.001-0.000-0.001-0.0020.0010.001-0.000-0.000-0.000-0.0010.000-0.0020.001-0.001-0.002-0.0000.000-0.001-0.0001.000-0.0010.001-0.0010.0010.000-0.0020.001-0.0010.0010.0000.0000.0000.001-0.0010.000-0.002-0.0010.0000.003-0.0030.000-0.0020.0000.000-0.000-0.0000.0010.002-0.001
коэфф_загрузки_возобновляемого_счета-0.1700.140-0.392-0.0000.0700.0010.0140.0220.1210.1240.017-0.077-0.091-0.040-0.216-0.195-0.1720.125-0.015-0.089-0.081-0.1300.029-0.116-0.1150.0320.0140.0950.0590.0170.1010.1950.069-0.0080.1820.1870.017-0.208-0.142-0.228-0.183-0.012-0.091-0.014-0.101-0.145-0.2150.002-0.009-0.012-0.0270.065-0.029-0.0910.022-0.000-0.0011.000-0.0020.1740.2820.0160.036-0.1350.408-0.3920.436-0.1000.114-0.1780.176-0.0090.7320.2650.0010.0700.1640.6640.847-0.0680.1820.036-0.0260.119-0.6000.042
коэфф_исходного_платежа0.001-0.0000.000-0.000-0.0000.0000.0000.0000.0010.0020.0010.0020.001-0.0000.0030.0040.0010.001-0.000-0.001-0.0010.001-0.0010.0020.0030.000-0.0010.0020.0010.000-0.000-0.002-0.002-0.001-0.002-0.003-0.0010.0020.0020.0010.0040.001-0.001-0.0010.0010.0020.0010.0000.0020.0020.0010.001-0.0000.004-0.0010.0010.001-0.0021.000-0.000-0.001-0.000-0.0000.002-0.0010.000-0.0000.001-0.0010.002-0.0000.000-0.0030.0000.0000.0030.008-0.003-0.003-0.002-0.0010.000-0.001-0.0000.003-0.000
кредитный_баланс_без_ипотеки0.0470.3170.0720.0010.4840.0000.0010.0070.1930.1890.5790.4220.315-0.0140.007-0.0020.1800.196-0.007-0.0960.0370.1550.2020.1670.178-0.021-0.020-0.0500.2350.129-0.3180.0150.001-0.014-0.1040.011-0.0310.1770.4730.2220.1130.028-0.099-0.0040.4820.4740.1620.000-0.0020.001-0.0140.6430.0110.1670.1900.000-0.0010.174-0.0001.0000.4120.5760.8600.3210.3780.0720.469-0.0520.6040.3860.4480.0440.1040.0130.0020.4230.3910.3890.1210.2750.4640.0140.0130.3350.1190.886
кредитный_баланс_по_возоб_счетам0.0530.4010.0380.0070.3000.003-0.0080.0150.3530.3610.1690.0870.063-0.0320.003-0.0080.3000.354-0.018-0.104-0.010-0.0370.2320.3230.3330.0340.0170.0340.1580.230-0.0490.0220.1750.096-0.0070.0080.0690.2980.3410.0660.010-0.055-0.100-0.0110.3170.3420.0350.000-0.049-0.002-0.0850.168-0.006-0.0060.1310.0090.0010.282-0.0010.4121.0000.3820.2370.4800.5510.0380.638-0.1390.3570.5190.2460.1070.2200.0670.0000.4920.4450.1310.226-0.0620.221-0.018-0.0110.4160.1690.199
кредитный_лимит0.0440.3180.2380.0020.5540.000-0.0010.0160.1450.1400.3320.2190.150-0.010-0.0070.0030.2460.147-0.010-0.1140.0300.1520.6480.2240.186-0.078-0.073-0.0520.2320.247-0.1470.0070.042-0.047-0.0840.009-0.1060.1920.3900.1610.1060.088-0.1250.0090.4450.3910.1250.0060.0170.009-0.0000.3010.0300.1460.1820.0020.0000.016-0.0000.5760.3821.0000.4750.3950.3440.2380.419-0.0400.9750.4740.122-0.009-0.019-0.1480.0020.5030.0870.035-0.026-0.0050.883-0.0090.0320.3540.2550.448
лимит_по_аннуитетным_счетам0.0850.1850.0830.0010.3960.0000.0120.0070.0210.0170.6500.4790.3430.005-0.016-0.0170.0650.0220.008-0.0240.0480.1710.1300.0440.031-0.023-0.024-0.0630.2170.017-0.3520.007-0.007-0.023-0.1230.007-0.0460.0410.3860.2450.1160.066-0.0270.0070.4180.3860.1810.0040.0260.0050.0390.7670.0190.2040.202-0.000-0.0020.036-0.0000.8600.2370.4751.0000.0970.1500.0830.1310.0070.4860.1250.453-0.0300.017-0.0020.0010.3550.3780.2700.0260.1580.3720.0180.0190.2010.0420.959
лимит_по_картам0.0570.3780.3710.0020.3790.000-0.0270.0190.3130.5330.011-0.018-0.039-0.0340.1110.0890.3740.314-0.036-0.192-0.025-0.0190.1980.5140.647-0.036-0.0510.0180.0980.2740.033-0.0320.0410.040-0.001-0.1440.0100.4350.3820.0360.041-0.088-0.184-0.0210.2850.3850.0180.000-0.087-0.003-0.1820.0080.006-0.043-0.0330.0010.001-0.1350.0020.3210.4800.3950.0971.0000.6400.3710.650-0.1380.3000.8680.0640.236-0.205-0.2600.0000.3360.076-0.288-0.256-0.1200.175-0.0470.0080.4080.7640.074
макс_баланс_по_возоб_счетам-0.0470.3740.0730.0010.3550.0000.0010.0000.2220.3370.055-0.056-0.081-0.048-0.094-0.0870.1850.218-0.034-0.148-0.080-0.1030.2130.2630.2940.003-0.0040.0760.1270.2430.0840.0860.0640.0650.0990.0490.0250.1680.186-0.094-0.099-0.058-0.136-0.0200.1780.186-0.1060.000-0.070-0.008-0.1410.055-0.005-0.092-0.009-0.000-0.0010.408-0.0010.3780.5510.3440.1500.6401.0000.0730.787-0.1540.3280.5530.1610.1360.313-0.0580.0010.3070.1410.1390.388-0.1320.283-0.021-0.0030.3870.1940.102
нижний_порог_рейтинга_заемщика0.0100.0711.0000.0020.1040.001-0.0110.130-0.172-0.0860.0080.001-0.013-0.083-0.141-0.1160.015-0.169-0.079-0.262-0.099-0.1330.0990.0460.0650.0360.0030.0700.0250.1110.0010.1060.2450.0630.0770.0540.0970.0160.035-0.106-0.058-0.213-0.237-0.0640.0250.053-0.1030.017-0.146-0.021-0.2620.021-0.048-0.0580.0060.0010.001-0.3920.0000.0720.0380.2380.0830.3710.0731.0000.041-0.2400.1550.362-0.0410.347-0.381-0.4160.0000.084-0.036-0.376-0.409-0.1180.149-0.058-0.0420.1170.4750.030
оборотный_баланс-0.0600.4550.0410.0010.4020.000-0.0130.0060.5080.4990.063-0.033-0.072-0.0460.0460.0230.3530.513-0.035-0.194-0.040-0.0550.2490.3580.422-0.030-0.0180.0500.1530.2920.0770.0180.1040.0340.0530.0050.0020.4040.378-0.008-0.033-0.053-0.190-0.0200.3060.379-0.0420.003-0.073-0.009-0.1550.068-0.006-0.0740.0830.0000.0000.436-0.0000.4690.6380.4190.1310.6500.7870.0411.000-0.1570.4020.7440.2530.1750.285-0.0170.0020.3420.2380.1750.319-0.1440.288-0.015-0.0020.4670.2030.119
общая_сумма_взысканий0.053-0.070-0.2400.001-0.0410.0000.0210.000-0.006-0.0430.0340.0170.0190.2190.0800.071-0.006-0.0040.0600.0810.0310.062-0.019-0.041-0.0440.0740.088-0.0340.029-0.015-0.011-0.055-0.0840.051-0.048-0.0330.0510.0130.0190.0660.0490.0330.0230.0040.0130.0200.0610.0000.0220.0040.1270.0150.0010.053-0.004-0.0020.000-0.1000.001-0.052-0.139-0.0400.007-0.138-0.154-0.240-0.1571.000-0.039-0.124-0.024-0.138-0.0760.0430.000-0.062-0.016-0.013-0.0750.030-0.0480.0090.002-0.078-0.0380.004
общая_сумма_на_счетах0.0190.2950.1550.0010.5230.0000.0040.0180.1200.1110.3540.2410.174-0.012-0.037-0.0240.1840.121-0.011-0.1050.0270.1610.6380.1640.122-0.059-0.058-0.0480.2260.207-0.1710.0270.041-0.044-0.0790.033-0.0900.1240.3440.1520.0990.083-0.1150.0070.4140.3440.1200.0050.0200.0080.0110.3270.0240.1600.1840.0020.0000.114-0.0010.6040.3570.9750.4860.3000.3280.1550.402-0.0391.0000.3680.129-0.0220.058-0.0900.0030.4740.0830.1790.0670.0870.928-0.0020.0270.3280.1410.490
общий_лимит_по_возоб_счету0.0560.3950.3620.0020.4090.000-0.0240.0000.4440.4500.0590.023-0.009-0.0300.1960.1550.5090.447-0.037-0.1790.0090.0260.2610.4890.567-0.055-0.032-0.0090.1310.3250.006-0.0960.0740.045-0.059-0.116-0.0070.5890.5200.1370.094-0.063-0.171-0.0160.4070.5220.0930.000-0.080-0.001-0.1670.0270.013-0.0220.0740.0010.001-0.1780.0020.3860.5190.4740.1250.8680.5530.3620.744-0.1240.3681.0000.1380.221-0.178-0.2300.0000.3590.137-0.309-0.228-0.1190.197-0.0420.0150.4260.6670.104
пдн0.0530.052-0.0410.000-0.2080.0010.0080.0020.2570.1630.2900.3060.209-0.0040.0380.0060.1480.257-0.034-0.0410.0020.050-0.0290.0830.1080.0020.0110.0060.0530.043-0.223-0.0070.0680.030-0.0680.0110.0060.1890.3200.1730.052-0.009-0.026-0.0040.2430.3140.1070.000-0.023-0.005-0.0530.4240.0050.0950.148-0.002-0.0010.176-0.0000.4480.2460.1220.4530.0640.161-0.0410.253-0.0240.1290.1381.0000.0680.1730.1820.001-0.0950.6170.2230.179-0.0270.0300.0140.0060.045-0.0710.430
процент_счетов_без_просрочек-0.0240.0500.3470.000-0.0530.0000.0160.0110.0420.100-0.0690.018-0.007-0.059-0.003-0.025-0.0510.049-0.050-0.017-0.042-0.054-0.105-0.0100.1140.0750.0590.042-0.138-0.142-0.0100.0290.2460.1260.033-0.0000.1910.0690.0390.007-0.026-0.4860.042-0.096-0.0870.042-0.0280.018-0.264-0.027-0.588-0.040-0.066-0.037-0.000-0.0010.000-0.0090.0000.0440.107-0.009-0.0300.2360.1360.3470.175-0.138-0.0220.2210.0681.000-0.006-0.0790.000-0.0520.061-0.069-0.018-0.020-0.040-0.046-0.0580.0630.156-0.031
процент_счетов_прев_75_лимита-0.1740.058-0.381-0.002-0.0130.0010.0100.0700.1330.0720.018-0.061-0.076-0.034-0.139-0.141-0.0990.136-0.023-0.051-0.061-0.1060.007-0.127-0.1530.0260.0270.0810.0450.0180.0850.1360.0880.0080.1350.1850.012-0.116-0.075-0.151-0.144-0.008-0.043-0.013-0.058-0.075-0.1580.010-0.012-0.011-0.0270.060-0.024-0.0770.002-0.000-0.0020.732-0.0030.1040.220-0.0190.017-0.2050.313-0.3810.285-0.0760.058-0.1780.173-0.0061.0000.2760.0020.0170.1560.4990.865-0.0540.0950.034-0.0220.037-0.6490.029
процентная_ставка-0.0530.127-0.416-0.003-0.1290.001-0.0030.2560.0940.023-0.0050.1570.1790.0180.1620.144-0.0630.0920.0180.0710.2150.200-0.100-0.091-0.062-0.011-0.006-0.178-0.076-0.150-0.172-0.1390.012-0.024-0.164-0.108-0.032-0.013-0.0140.1870.1550.0600.0650.014-0.057-0.0190.2070.0090.0410.0070.0650.0530.0190.1390.010-0.001-0.0010.2650.0000.0130.067-0.148-0.002-0.260-0.058-0.416-0.0170.043-0.090-0.2300.182-0.0790.2761.0000.001-0.1250.2440.2950.2830.168-0.0900.0850.0160.115-0.3450.063
рейтинг_OCR0.0010.0000.0000.0020.0020.0000.0000.0020.0000.0010.0020.0020.0000.0000.0000.0000.0000.0000.0010.0010.0000.0010.0000.0000.0000.0030.0030.0010.0010.0010.0000.0010.0000.0030.0000.0010.0020.0010.0000.0010.0000.0010.0000.0000.0000.0000.0000.0020.0000.0000.0020.0000.0000.0000.0000.0000.0000.0010.0000.0020.0000.0020.0010.0000.0010.0000.0020.0000.0030.0000.0010.0000.0020.0011.0000.0100.0160.0000.0000.0030.0020.0000.0000.0000.0020.001
совокупный_доход_заемщиков0.0920.3670.0840.0050.6570.0000.0330.0490.1410.1710.2220.1220.091-0.017-0.0070.0060.1970.1420.011-0.0740.0030.0780.2940.2150.195-0.046-0.054-0.0400.1940.199-0.0810.0010.022-0.016-0.0580.002-0.0610.1570.2570.0940.0630.069-0.0820.0040.2990.2580.0820.0000.023-0.0070.0380.2120.0090.0650.1140.0010.0030.0700.0030.4230.4920.5030.3550.3360.3070.0840.342-0.0620.4740.359-0.095-0.0520.017-0.1250.0101.000-0.1420.0230.022-0.0400.3660.003-0.0010.4040.1850.313
совокупный_пдн_заемщиков0.0330.094-0.0360.001-0.1150.009-0.0170.1390.2230.1580.2640.2520.1800.0020.021-0.0100.1280.223-0.019-0.0270.0130.050-0.0070.0880.1180.0350.0330.0060.0680.012-0.1860.0170.1250.051-0.0410.0160.0400.1660.2660.1360.034-0.027-0.0190.0010.2200.2660.0740.015-0.0270.001-0.0450.3230.0030.0900.1430.003-0.0030.1640.0080.3910.4450.0870.3780.0760.141-0.0360.238-0.0160.0830.1370.6170.0610.1560.2440.016-0.1421.0000.1680.161-0.020-0.0150.0230.0010.070-0.0560.347
соотношение_баланса_к_лимиту_общее-0.1050.034-0.3760.0000.0310.0000.0070.089-0.011-0.0250.2410.2190.197-0.017-0.170-0.156-0.227-0.0020.002-0.014-0.0400.023-0.016-0.214-0.2140.0560.0460.0300.047-0.077-0.1940.141-0.025-0.0090.0380.1460.028-0.254-0.039-0.026-0.0390.005-0.021-0.008-0.011-0.039-0.0250.0120.014-0.0070.0660.329-0.0240.0710.0590.0000.0000.664-0.0030.3890.1310.0350.270-0.2880.139-0.3760.175-0.0130.179-0.3090.223-0.0690.4990.2950.0000.0230.1681.0000.5940.5440.2140.050-0.0210.010-0.5310.367
соотношение_баланса_к_лимиту_по_картам-0.1790.078-0.409-0.0010.0060.0020.0150.0620.1230.0610.019-0.068-0.083-0.035-0.175-0.172-0.1360.126-0.016-0.047-0.071-0.1150.007-0.169-0.2020.0350.0360.0880.0500.0000.0940.1640.0820.0080.1600.2210.018-0.159-0.109-0.177-0.172-0.007-0.042-0.013-0.082-0.109-0.1820.010-0.010-0.011-0.0200.065-0.027-0.081-0.001-0.001-0.0020.847-0.0030.1210.226-0.0260.026-0.2560.388-0.4090.319-0.0750.067-0.2280.179-0.0180.8650.2830.0000.0220.1610.5941.000-0.0570.1180.036-0.0240.054-0.7560.035
соотношение_сумм_текущего_баланса_к_лимиту_по_аннуитетным_счетам-0.016-0.086-0.1180.000-0.0840.0010.0040.040-0.052-0.0630.2130.3360.4000.0050.0820.068-0.055-0.053-0.0020.0250.0890.190-0.061-0.065-0.0550.0700.068-0.086-0.032-0.106-0.427-0.058-0.049-0.002-0.199-0.0530.061-0.0370.0950.2320.207-0.0330.024-0.0050.0900.0960.2610.0050.008-0.0050.0690.198-0.0160.1550.0270.0010.000-0.068-0.0020.275-0.062-0.0050.158-0.120-0.132-0.118-0.1440.0300.087-0.119-0.027-0.020-0.0540.1680.003-0.040-0.0200.544-0.0571.0000.0550.023-0.015-0.094-0.0440.403
средний_баланс_текущих_счетов0.0110.2420.1490.0010.4540.0000.0190.015-0.120-0.0820.2340.1590.119-0.017-0.210-0.158-0.032-0.119-0.012-0.102-0.0240.0920.625-0.008-0.098-0.040-0.053-0.0130.1900.173-0.1180.1320.034-0.0520.0110.127-0.077-0.1660.004-0.0180.0010.068-0.1100.0050.1900.004-0.0070.0030.0200.0070.0090.1700.0180.1220.1540.0020.0000.182-0.0010.4640.2210.8830.3720.1750.2830.1490.288-0.0480.9280.1970.030-0.0400.095-0.0900.0020.366-0.0150.2140.1180.0551.000-0.0000.0200.2730.0350.379
сумма_выплат_по_просрочкам0.0220.026-0.0580.0010.0050.000-0.0170.029-0.001-0.0110.0110.0110.0160.0090.0070.006-0.029-0.0010.017-0.0020.0160.022-0.022-0.034-0.026-0.043-0.044-0.021-0.005-0.019-0.016-0.007-0.032-0.021-0.018-0.006-0.044-0.022-0.0090.0180.0150.048-0.0130.004-0.015-0.0080.0190.0030.0210.0020.0240.0140.0080.0130.007-0.000-0.0000.0360.0000.014-0.018-0.0090.018-0.047-0.021-0.058-0.0150.009-0.002-0.0420.014-0.0460.0340.0850.0000.0030.0230.0500.0360.023-0.0001.0000.0070.024-0.0540.013
сумма_задолженности0.0100.004-0.0420.0010.0200.001-0.0070.0020.007-0.0020.011-0.006-0.0060.015-0.003-0.0030.0210.0070.008-0.003-0.005-0.0050.0250.0110.001-0.111-0.0880.0040.0160.0260.0070.002-0.010-0.0820.0030.005-0.1420.0160.025-0.002-0.0070.129-0.0100.0100.0260.012-0.0050.0060.0660.2270.0190.0090.761-0.0070.000-0.001-0.000-0.026-0.0010.013-0.0110.0320.0190.008-0.003-0.042-0.0020.0020.0270.0150.006-0.058-0.0220.0160.000-0.0010.001-0.021-0.024-0.0150.0200.0071.0000.0020.0190.010
сумма_займа-0.0070.9690.117-0.0000.4810.0000.0020.0730.1670.2090.1100.030-0.004-0.020-0.015-0.0310.1970.1670.007-0.088-0.0230.0190.2300.2210.229-0.033-0.0370.0050.1280.1840.0080.0450.024-0.0020.0280.027-0.0240.1840.2060.007-0.0170.006-0.096-0.0010.2260.203-0.0250.002-0.021-0.001-0.0560.0730.0010.0080.0670.0020.0010.119-0.0000.3350.4160.3540.2010.4080.3870.1170.467-0.0780.3280.4260.0450.0630.0370.1150.0000.4040.0700.0100.054-0.0940.2730.0240.0021.0000.2180.165
суммарная_доступная_сумма_займа_по_картам0.1430.1860.4750.0020.2190.002-0.0270.0390.1140.287-0.0060.0290.021-0.0020.1740.1570.3130.118-0.012-0.0830.0220.0500.1160.4170.526-0.041-0.049-0.0370.0280.165-0.031-0.124-0.0260.031-0.100-0.236-0.0010.3640.3000.1320.124-0.053-0.081-0.0060.2240.3010.1220.001-0.0530.005-0.098-0.0320.0200.023-0.0140.0010.002-0.6000.0030.1190.1690.2550.0420.7640.1940.4750.203-0.0380.1410.667-0.0710.156-0.649-0.3450.0020.185-0.056-0.531-0.756-0.0440.035-0.0540.0190.2181.0000.026
текущий_баланс_по_аннуитетным_счетам0.0000.1560.0300.0010.3520.0000.0200.0060.0380.0260.6460.5340.4150.0030.0090.0030.0690.0380.003-0.0130.0630.2090.1240.0480.0380.0070.005-0.0770.2130.002-0.432-0.0060.011-0.016-0.156-0.002-0.0130.0520.3780.2820.1550.046-0.0140.0030.4210.3790.2250.0000.0240.0020.0550.7510.0090.2330.1970.000-0.0010.042-0.0000.8860.1990.4480.9590.0740.1020.0300.1190.0040.4900.1040.430-0.0310.0290.0630.0010.3130.3470.3670.0350.4030.3790.0130.0100.1650.0261.000

Missing values

2025-07-31T05:14:19.191746image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
A simple visualization of nullity by column.
2025-07-31T05:14:24.008383image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-07-31T05:14:50.560858image/svg+xmlMatplotlib v3.9.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

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